DoorDash widens its SMS ordering rollout

<p>The National Retail Federation forecasts that retail sales in November and December will grow 4.2 percent over 2025, reaching total spending of 1.013 trillion dollars, the first time the holiday season has crossed the trillion-dollar line. The headline number looks strong. The detail that matters is buried one layer down: roughly half of that 4.2 percent comes from inflation rather than from consumers buying more. NRF chief economist Mark Mathews made that split explicit on the forecast call, and it changes how the season should be planned.</p><p>The first number is the NRF forecast: 4.2 percent growth to 1.013 trillion dollars, covering November 1 through December 31 and excluding gas stations, automobile dealers and restaurants. The second is the inflation contribution, which NRF pegs at about half the gain, with higher diesel prices and increased memory prices pressuring popular gifting categories such as electronics.</p><p>The third is consumer intent. Circana’s survey of more than 3,500 shoppers found holiday budgets expected at 779 dollars, down from 796 dollars in 2025, with fourth-quarter spend ranging from a 1 percent decline to a 2.5 percent increase. Simon-Kucher, surveying 1,500 adults, projects a 5.5 percent year-over-year decline in spend. A forecast built on nominal growth and a survey built on stated budgets are measuring different things, and the gap between them is the planning risk.</p><h3>Why Nominal Growth Can Coexist With Thinner Baskets</h3><p>Nominal growth counts dollars, not decisions. If a shopper buys the same number of gifts at higher prices, sales rise and the basket does not. Retailers then see growth in revenue alongside flat or declining units, which makes inventory planning harder because the usual relationship between revenue and units breaks down. The practical consequence is that unit forecasts need to be built separately from revenue forecasts this year.</p><p>NRF’s forecast also points to muted seasonal hiring, which Mathews described as consistent with a low hire, low fire environment. For context, the trade group predicted 265,000 to 365,000 seasonal workers in 2025, down from 442,000 hired in 2024. Hiring plans are a better read on retailer confidence than sales forecasts, because they are commitments with a cost attached rather than projections.</p><p>Muted hiring has an operational consequence that shows up in December. Fewer seasonal staff means less capacity for replenishment, fitting rooms and returns, which pushes wait times up precisely when tolerance is lowest. Retailers that under-hire usually compensate with overtime, and overtime is more expensive per hour than seasonal labor, so the savings are partly illusory.</p><h3>Where the Labor Hours Should Go</h3><p>If headcount is fixed, the allocation matters more than the total. The highest-return hours in a holiday store are not at the register, they are at replenishment and online order picking, because those two activities determine whether a shopper finds the item at all. Shifting hours from checkout to the back room is unglamorous and usually effective.</p><p>With roughly half the growth coming from price, the promotional calendar carries more weight than usual. Retailers that plan discounts on the assumption of unit growth will over-invest; those that plan on the assumption of price-led growth will protect margin by narrowing discounts to categories where price elasticity is proven.</p><p>The electronics category is the clearest example. Memory prices have risen, which raises the cost of the most popular gift items. A retailer that holds price to protect traffic loses margin on every unit; one that passes cost through risks losing the gift purchase entirely. The workable middle is to hold price on the entry configuration and let the higher-capacity model carry the margin.</p><p>It should change the timing of commitments, not the size of them. If growth is price-led, then the risk is holding inventory bought at pre-season costs that later has to be marked down. Committing later and accepting a higher unit cost is often cheaper than committing early and carrying markdown risk, particularly in categories with short fashion cycles.</p><p>It should also change the measurement. Retailers that track only revenue will read this season as healthy. Those that track units, average selling price and markdown rate alongside revenue will see which part of the growth is real. The 4.2 percent is a reasonable forecast; the useful question is how much of it survives into gross profit.</p><p>The first thing to lock is the unit plan, not the revenue plan. If half the growth is price, then a revenue target of plus 4.2 percent can be met with flat units, which means inventory bought to support unit growth will end up as markdown. Building the buy plan on units and letting revenue float is the more defensive posture this year.</p><p>The second thing to lock is the markdown calendar. Retailers that schedule markdowns in advance, with pre-agreed triggers, avoid the panic discounting that appears in the second week of December when sales run below plan. Pre-agreed triggers also make it easier to hold price early, because the team knows there is a plan for later rather than a hope.</p><h3>The Unit-Level Plan</h3><p>A unit-level plan requires category managers to commit to a number of units rather than a value, which is uncomfortable because it exposes assumptions. That discomfort is the point. A revenue plan can hide a wrong assumption for a full quarter; a unit plan surfaces it within three weeks, when there is still time to react.</p><!--SEO Title: Forecast Growth Meets Thinner BasketsMeta Description: NRF forecasts 4.2 percent holiday growth to 1.013 trillion dollars, with about half from inflation. What that split means for pricing, hiring and inventory.Canonical URL: https://www.bxtdata.com/insights/nrf-holiday-forecast-inflation-split-->

<p>Gen Z and millennial shoppers are reshaping the c-store retail experience game plan, changing what convenience formats stock, price and promote. <a href="https://www.retailcustomerexperience.com/articles/gen-z-millennial-shoppers-reshaping-the-c-store-retail-experience-game-plan/" target="_blank">The new c-store playbook</a> is being written by customers who treat a convenience stop as a food and beverage occasion rather than as an emergency errand. For operators, the shift is uncomfortable because it raises expectations on freshness, speed and experience at a price point that historically left no room for any of the three.</p><p>The classic c-store trip was transactional: fuel, a drink, maybe a snack, all decided in under two minutes. The emerging trip is closer to a quick service restaurant visit, with hot food, coffee and prepared items carrying the basket. Younger shoppers arrive with phones in hand, compare options quickly and expect the same product quality they see in a full restaurant, delivered at convenience speed.</p><p>Staffing pressure arrives at the same time. <a href="https://www.retailcustomerexperience.com/news/nearly-half-of-retail-workers-looking-to-leave-job-within-a-year/" target="_blank">Nearly half of retail workers are looking to leave their job within a year</a>, which makes labor intensive service models harder to run. The formats that win are the ones that use automation and layout to take work out of the transaction, freeing the remaining staff for the food and hospitality parts that machines handle badly.</p><h3>Food and beverage now carry the basket</h3><p>The margin structure of convenience retail is tilting toward fresh and prepared items because those are the categories that pull people into the store more than once a day. Packaged goods still fill the basket, but they no longer justify the trip on their own. Operators that treat food service as a side business are quietly losing the frequency battle to those that treat it as the main event.</p><p>Assortment moves toward smaller packs, better ingredients and local flavor, because younger shoppers sample widely and share what they find. Pricing shifts from unit price logic to bundle logic, since a coffee plus snack combination beats two separate markups. Promotion moves from fuel discounts to app based loyalty, where data can personalize offers instead of broadcasting the same deal to everyone.</p><p>The quality bar keeps rising even as budgets tighten. <a href="https://www.retailcustomerexperience.com/news/retail-customer-satisfaction-stays-strong/" target="_blank">Retail customer satisfaction stays strong</a> as pricing pressure persists, meaning shoppers forgive a higher price far more readily than they forgive a stale sandwich. In convenience, the freshness promise is the brand, and one bad experience undoes a month of traffic building.</p><h3>Freshness is the brand in convenience retail</h3><p>Convenience shoppers buy time, so anything that wastes their time reads as a broken promise. A cold coffee, a missing lid or an unattended food case damages trust faster than in any other format, because the visit itself is short and the memory is sharp. Operators therefore need tighter waste management and clearer freshness labeling than traditional grocery ever required.</p><p>Automation pays off in checkout, inventory counting and routine replenishment, all of which are invisible to the customer and expensive in labor. It hurts in food preparation and greeting, where presence is part of the product. <a href="https://www.retailcustomerexperience.com/articles/best-practices-for-integrating-automated-retail-while-enhancing-customer-experience/" target="_blank">Best practices for integrating automated retail</a> consistently recommend keeping humans in the loop for trust critical moments, which in a c-store means everything involving food.</p><p>The sensible sequence is to automate the back of house first, then the front, and to redeploy freed hours into food quality and store cleanliness. Operators that do the reverse save payroll in the short term and lose the visit frequency that pays for the whole format.</p><h3>A Practical Reset For The Busiest Hour</h3><p>Start with a walkthrough at the busiest hour, watching where queues form and where customers hesitate. Reallocate that space to the categories that caused the hesitation. Then review the food case by waste data rather than by sales alone, since unsold freshness is the most expensive inventory in the building. Finally, pilot one app based personalized offer and measure repeat visits before scaling.</p><p>The c-store format is not dying, it is being repriced. Younger shoppers will pay for quality and speed, but only from operators who rebuild the trip around their expectations. The game plan is being rewritten in real time, and the retailers holding the pen are the customers.</p><!--SEO Title: Gen Z And Millennials Rewrite The C-Store PlaybookMeta Description: Gen Z and millennial shoppers are reshaping the c-store experience. How convenience formats must rewrite assortment, pricing, promotion and automation to win food led trips.Canonical URL: https://www.bxtdata.com/en/insights/genz-cstore-playbook-->

<p>TikTok is adding a conversational AI agent for product discovery and a one-click checkout, betting that its role as a place where people find products can be converted into a place where they buy them. The announcement matters less for the features themselves than for what it removes: the gap between seeing a product and paying for it, which has been the platform's weakest link in Western markets.<a href="https://www.retaildive.com/news/tiktok-ai-powered-discovery-one-click-checkout/832326/" target="_blank">TikTok AI discovery and checkout</a></p><p>The conversational agent is designed to answer shopping questions inside the app, moving a user from a vague interest to a specific shortlist without leaving the feed. One-click checkout then collapses address entry, payment selection and confirmation into a single action for returning shoppers.<a href="https://www.retaildive.com/news/tiktok-ai-powered-discovery-one-click-checkout/832326/" target="_blank">conversational AI agent and simpler checkout</a></p><p>Together the two features change the funnel shape. Discovery and transaction have historically lived in different sessions, often days apart, with a search engine or a retailer site in between. Removing that gap moves the platform closer to a closed loop, and moves everyone else further from the moment of intent.</p><h3>Discovery Already Worked</h3><p>Product discovery on short video has been effective for years, particularly in categories where demonstration matters: beauty, kitchen tools, apparel styling. What never worked reliably was the handoff, because each handoff lost a measurable share of buyers to comparison shopping or simple friction.</p><h3>Returns Were the Hidden Cost</h3><p>Social commerce carries higher return rates than traditional e-commerce because buyers commit with less information. One-click checkout raises the stakes, since the easier the purchase, the more casual the decision, and the more likely the item comes back. That cost lands on merchants, not on the platform.</p><h3>Merchant Data Gets Thinner</h3><p>When the transaction closes inside a social platform, the merchant receives order data but not the full behavioral context. Brands that built their retention models on first-party browsing data will find a larger share of customers arriving as anonymous transactions, which weakens lifecycle marketing.</p><p>UPS' Happy Returns integration into TikTok Shop, with Pacsun and Everlane among the early retailers, is best read as an admission that reverse logistics had to be built before volume could scale. A shopper who cannot return easily does not buy twice, and social commerce depends on repeat purchase more than on first purchase.<a href="https://www.retaildive.com/news/ups-happy-returns-tiktok-shop/833322/" target="_blank">Happy Returns on TikTok Shop</a></p><p>The integration also creates a data opportunity. Returns handled at a physical drop-off point generate reason codes and timing patterns that pure online merchants rarely see. Retailers that feed those codes back into product pages reduce future return rates more effectively than those that treat returns as a customer service cost.</p><p>The first preparation is content. If an AI agent answers questions from product listings, the listings become the source of truth, and incomplete attributes turn into wrong answers. Merchants with clean size, material and compatibility data will be recommended accurately; the rest will be recommended inconsistently.</p><p>The second is pricing architecture. One-click checkout rewards a single clear price and punishes conditional discounts that require a code or a threshold. Complex promotion structures are invisible in a one-click flow, which means the effective price a shopper sees may be higher than the one the brand intended.</p><p>Bealls is preparing a consumer app designed to connect shopping across channels and support its loyalty strategy, showing retailers building the same capability on their own properties. The strategic difference is ownership of the conversation: platform agents own the customer relationship, brand agents only borrow it.<a href="https://www.retaildive.com/news/bealls-debuts-mobile-app-marketing-campaign/832855/" target="_blank">Bealls mobile app</a></p><p>Adobe's finding that AI-originated traffic converts better than non-AI traffic suggests the borrowed relationship can still be profitable. Consumers arriving with a recommendation in hand engage more and spend more per visit, which is why brands are willing to accept platform intermediation while building direct agents in parallel.</p><p>Three metrics will separate winners from losers in the first two quarters. Assisted conversion, the share of sessions where an agent answer precedes a purchase, tells you whether discovery is working. Return rate by acquisition channel shows whether easy checkout is buying revenue or buying refunds. Repeat rate within ninety days reveals whether the platform is delivering customers or transactions.</p><p>Brands that measure all three will know whether to invest in platform-native content or to pull traffic back to their own agents. Brands that measure only revenue will see a strong quarter followed by a weak year, and will not be able to explain the difference until the channel has already reset their cost structure.</p><!--SEO Title: TikTok Adds AI Discovery and One-Click CheckoutMeta Description: TikTok adds a conversational AI shopping agent and one-click checkout, closing the gap between discovery and purchase while raising return rates and thinning merchant data.Canonical URL: https://www.bxtdata.com/en/insights/tiktok-ai-discovery-one-click-checkout-->

<p>Best Buy is testing a gaming digital hub that extends category depth beyond what any store can hold on a shelf. The pilot is a useful case study because gaming is the category where the limits of physical retail are most visible: the software catalog is enormous, the hardware refresh cycle is short, and the accessory long tail is effectively infinite. A store can hold a few hundred SKUs. A category needs tens of thousands.</p><p>The hub is best understood as a curated layer over an unbounded catalog. Rather than listing everything, it organizes the category around the decisions a shopper actually makes: which platform, which genre, which compatibility tier, which budget. That structure is what a physical shelf cannot provide, because a shelf organizes by product while a shopper organizes by intent.</p><p>The second function is discovery across formats. Gaming spend increasingly moves between physical software, digital codes, subscriptions and accessories, and a shopper who buys a console needs a headset, a controller and often a subscription in the same trip. A digital layer can present that bundle explicitly, which is difficult to do when each item sits in a different aisle.</p><h3>Intent-Based Navigation</h3><p>Intent-based navigation is harder to build than a category tree because intent is not stable. The same shopper may arrive wanting a specific title and leave wanting a setup. Systems that capture the initial query and then adapt the layout tend to outperform static landing pages, but they require merchandising teams to give up some control over what appears first, which is an organizational concession rather than a technical one.</p><p>Depth is a defensive asset in categories where the shopper is knowledgeable. A gamer who cannot find a specific title or a compatible accessory does not substitute; they leave and buy elsewhere. Physical stores respond by narrowing to bestsellers, which protects turn but concedes the long tail entirely to online competitors, and the long tail is where the highest-margin accessories live.</p><p>A digital layer lets a store keep the bestsellers on shelf and serve the tail without inventory. The economic logic is the same as endless aisle, but the execution requirement is different: the layer has to be integrated with store inventory so that a shopper standing in the aisle knows whether the item is on the shelf, available for pickup today, or shipping in three days.</p><h3>Inventory Truth as the Bottleneck</h3><p>Inventory truth is where most digital category layers fail. If the system says an item is in stock and the shelf is empty, the shopper stops trusting the layer for everything else. Retailers that invest in cycle counting for the digital catalog, not just for the shelf, report materially higher engagement, because the tool becomes reliable enough to plan a purchase around.</p><p>A pilot of this kind typically measures four things: engagement with the hub, attachment rate on adjacent accessories, conversion of hub sessions into transactions, and the share of hub traffic that originates in store versus at home. The fourth metric is the most diagnostic, because it reveals whether the hub is being used as a shelf extender or simply as another website.</p><p>Attachment rate is the commercial heart of the test. Gaming hardware has thin margins; accessories and services carry the profit. If a shopper who engages with the hub buys 1.6 items instead of 1.2, the pilot has found a margin lever that does not require discounting, which is exactly what a category with price-transparent products needs.</p><h3>Attribution Across Channels</h3><p>Attribution is the hardest part. A shopper may browse the hub at home, visit the store, and buy through the app. Unless the retailer can stitch those sessions to one identity, the hub will look less effective than it is, and the pilot will be judged on the wrong number. Solving that requires the same identity work that loyalty programs depend on, which is why the two initiatives usually converge.</p><p>Every digital category layer creates tension with store teams. If the hub recommends a product the store does not carry, the associate has to explain a gap they cannot close. If the hub shows a price that differs from the shelf, the associate absorbs the complaint. Retailers that launch without resolving these two issues usually see store-level resistance that quietly undermines the pilot.</p><p>The resolution is usually a rule set rather than a technology fix: the hub prioritizes items with store availability, prices are synchronized to a single source, and any recommendation without local stock routes to a pickup or delivery promise the store can actually meet. These rules are unglamorous, but they determine whether associates promote the tool or work around it.</p><h3>Associate Incentives</h3><p>Associates promote tools that make their job easier and ignore tools that create work. A hub that helps close a sale the store could not otherwise serve is a net positive for the associate, especially if the sale is credited to the store. A hub that generates questions the associate cannot answer is a net negative, regardless of how well it performs in aggregate metrics.</p><p>The pilot should be judged on incremental category revenue, not on hub traffic. Traffic is easy to generate with placement and prompts, and it says little about whether the layer changed a purchase decision. The cleanest test compares stores with the hub against matched stores without it, over the same promotional calendar, with attachment rate and category revenue as the two primary outcomes.</p><p>A second read is cost to serve. Digital layers add picking, packing and customer service load, and those costs land on the store even when the order ships from a warehouse. If the pilot improves revenue but triples exceptions, the net contribution may be negative, and the operational model needs to change before a rollout.</p><p>Holiday shoppers are cutting discretionary baskets and shifting toward value, which makes category depth a double-edged advantage. Deep catalogs serve the shopper who knows what they want, but they can overwhelm the shopper who is browsing on a budget. The most likely outcome for this pilot is a segmented design: a narrow, price-clear front for the casual shopper and a deep, searchable back for the enthusiast.</p><!--SEO Title: Best Buy Tests a Gaming Hub Where Shelf Space EndsMeta Description: Best Buy's gaming digital hub pilot tests category depth beyond the shelf. This analysis covers intent-based navigation, attachment rate, channel conflict and how to read pilot results.Canonical URL: https://www.bxtdata.com/en/insights/0/best-buy-gaming-hub-pilot-->

<p>Tariff refunds are arriving, and the first number large enough to matter belongs to the largest retailer in the United States. Walmart expects to recover close to $3 billion, a sum that changes the landed-cost base for a meaningful share of its assortment (<a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">Walmart gets close to …</a>). The interesting question is not whether the money shows up. It is whether any of it reaches the shelf, and how long a retailer can hold a price that the cost base no longer justifies.</p><p>For a company of that scale, a refund of this size is not a rounding error; it is a line that can fund investment, absorb cost inflation, or flow to the bottom line. Each choice signals something different to investors and to competitors. Spending it on price is the loudest option and the easiest to reverse later, which is exactly why price teams are watching rather than acting.</p><p>The refund also resets a negotiating position. Suppliers who absorbed cost increases earlier in the year now face a buyer whose cost base has improved, and the conversation about who captured the tariff will reopen. That conversation is where the refund actually gets allocated, long before any shelf label changes.</p><h3>Why the refund is not passed through</h3><p>Prices are sticky upward and sticky downward, but for different reasons. Upward stickiness comes from cost pass-through that is hard to reverse once customers have accepted it. Downward stickiness comes from the fact that a price cut is a public commitment: competitors match it within days, and the volume gain disappears while the margin loss remains.</p><p>Retailers also know that shoppers do not reward a price cut the way they reward a promotion. A permanent lower price is invisible without advertising, and advertising it converts a margin gain into a marketing expense. That arithmetic is why relief at the corporate level rarely becomes relief at the shelf, a pattern already visible as retailers capture direct tariff relief while shelf prices stay put (<a href="https://www.modernretail.co/operations/big-box-briefing-retailers-get-direct-tariff-relief-their-shoppers-likely-wont/" target="_blank">Big-Box Briefing: Reta…</a>).</p><p>The refund lands on a business that is still arguing with itself about what it is. One large grocery chain is reworking price perception and store identity while accelerating a turnaround, which is a polite way of saying that its customers cannot currently describe what makes it worth a trip (<a href="https://www.modernretail.co/operations/big-box-briefing-whats-fueling-albertsons-identity-crisis-as-it-accelerates-turnaround-efforts/" target="_blank">Big-Box Briefing: What…</a>). A refund does not solve that problem; it only buys time to solve it.</p><p>Time is useful if it is spent on the right thing. Price perception is built from a small number of known-value items, not from an average across the basket. A retailer that uses the refund to sharpen the price of a hundred items customers actually compare will move perception; one that spreads it thinly across ten thousand items will move nothing.</p><h3>Enforcement closes a price gap</h3><p>At the same time, online merchants are welcoming tighter customs enforcement, because it removes a competitor advantage that was never about efficiency. Sellers who were paying duties have been competing against sellers who were not, and the price gap showed up as a credibility problem for the whole marketplace. Enforcement narrows that gap without anyone cutting a price.</p><p>This is the underappreciated dynamic of the current cycle: the competitive position of compliant sellers improves without any change in their own cost structure. For price teams, it means the reference price in a category can move up without a public increase, which is a rare opportunity to repair margin quietly.</p><h3>Three indicators to track</h3><p>Three indicators will show whether the refund reaches shoppers. First, the frequency of temporary price reductions on known-value items, which is cheaper to run than a permanent cut. Second, the gap between shelf price and the price of the same item on marketplace platforms, which reveals how much room the retailer believes it has. Third, the language used in supplier negotiations, which usually leaks before the shelf changes.</p><p>None of these will produce a clean answer this quarter. The refund is a balance-sheet event that takes a year to become a pricing event, if it ever does. The teams that get it right will be the ones that decided in advance what they wanted the money to buy, rather than letting it disappear into the reconciliation.</p><!--SEO Title: A 3 Billion Refund Decides How Long Margins HoldMeta Description: A 3 Billion Refund Tests How Long Margins HoldCanonical URL: https://www.bxtdata.com/insights/three-billion-refund-tests-margin-hold-->

<p>Target rebuilt its store operations app after collecting input from employees across 50 stores, and the result is less a new interface than a new ordering principle: the app now groups similar tasks and ranks each employee's to-do list by urgency and value. <a href="https://www.retaildive.com/news/target-upgrades-store-operations-app-employees/832989/" target="_blank">Retail Dive detailed the myDay upgrade</a> on October 20, noting that AI-backed insights will follow. For anyone who manages store labor, the significance is not the software. It is the admission that the constraint in a store is not information but attention, and attention has to be allocated deliberately.</p><p>The input process is worth studying. Rather than surveying thousands of employees, Target worked with a smaller set of stores to identify where workflows broke down, then rebuilt the app around those findings. That is a materially different approach from shipping a feature list and measuring adoption. It also explains why the first release focuses on ranking and grouping rather than analytics: the daily friction was not a lack of dashboards, it was too many competing prompts at the same moment.</p><p>The refreshed app introduces a customizable home screen called myDay Leader View, which lets team leaders pin metrics about shelf stocking or pickup fulfillment depending on their role. <mark style="background:#024e9a12;">Scan to Divert contributed $25 million in value that Target says can be reinvested in stores</mark><a href="https://www.retaildive.com/news/target-upgrades-store-operations-app-employees/832989/" target="_blank">the company's own estimate</a> is the most concrete number attached to the rollout. It describes a routing decision, not a reporting feature, which is why the value is measurable at all.</p><h3>Scan to Divert</h3><p>Scan to Divert helps an employee decide whether a newly scanned product belongs on the shelf or in the backroom, based on demand and space. That sounds modest until you count how often the wrong call is made. A case that goes to the backroom and stays there becomes a phantom out-of-stock: the system shows inventory, the shelf shows a gap, and the customer leaves. Routing the decision at the moment of scanning removes one handoff and one opportunity for error.</p><h3>What Ranking Hides</h3><p>Ranking has a second-order effect that rarely appears in business cases. When the app decides what is urgent, it also decides what is not, and that judgment gets embedded in how a store runs. <mark style="background:#024e9a12;">Dick's Sporting Goods is hiring fewer seasonal workers than a year ago</mark><a href="https://www.retaildive.com/news/dicks-sporting-goods-seasonal-hiring-down/833348/" target="_blank">Retail Dive's seasonal hiring report</a> illustrates the environment: with leaner seasonal staffing, the cost of a misallocated hour rises, and prioritization tools become a substitute for headcount rather than a complement to it.</p><p>Most inventory accuracy programs measure the gap between system records and physical counts, then treat the gap as an audit problem. Store apps change the economics of that gap by capturing corrections at the point of work. If every scan can move an item, every scan is also an accuracy event, and the record improves as a byproduct of normal tasks rather than as a separate exercise. That is the only version of inventory accuracy that survives a busy Saturday.</p><h3>Records That Survive Saturday</h3><p>The connection to fulfillment is direct. Pickup and same-day delivery promises are built on inventory records, and a record that is wrong by a few units per store produces cancelled orders at a rate that customers remember. <a href="https://www.retaildive.com/news/bealls-debuts-mobile-app-marketing-campaign/832855/" target="_blank">Bealls' mobile app launch</a> shows smaller chains making the same bet from the customer side. Whether the investment pays back depends on whether the store record and the digital promise are reading the same data.</p><p>Labor planning traditionally starts with traffic forecasts and converts them into scheduled hours by department. Task-ranking apps introduce a second input: the actual backlog of work at a given moment. Combining the two lets a manager move an hour from a department that is ahead to one that is behind, without waiting for the next schedule cycle. The gain is not fewer hours, it is fewer hours spent on the wrong task, which is harder to see and easier to waste.</p><p>There is a governance question underneath. If the app ranks tasks, someone has to own the ranking logic, and that owner is effectively setting store priorities. <mark style="background:#024e9a12;">September retail sales rose 6.7% year over year, largely on price</mark><a href="https://www.retaildive.com/news/monthly-retail-sales-from-the-us-commerce-department/574252/" target="_blank">the monthly sales series</a> suggests that with volume under pressure, the marginal hour matters more than it did during the expansion years. Documenting why a task ranks where it does is the difference between a tool and an unexplained policy.</p><p>The pilot will be judged on adoption, but adoption is a weak signal. The real test is whether hours move: from restocking to fulfillment during a pickup surge, from backroom to floor when a delivery lands late, from one department to another when a promotion overperforms. If schedules look the same six months from now, the ranking engine is decoration.</p><p>A second test is whether the data flows back into planning. Task completion times, scan corrections and divert decisions are all evidence about how long work actually takes, and that evidence should update the labor model. Stores that close this loop will find their forecasts getting sharper each quarter, which is a compounding advantage that is difficult for a competitor to copy quickly.</p><!--SEO Title: A Ranking Engine Reorders Store Tasks Every MorningMeta Description: Target rebuilt its myDay app after input from 50 stores, ranking tasks by urgency and value. This analysis covers Scan to Divert economics, inventory truth and what store apps change in labor planning.Canonical URL: https://www.bxtdata.com/insights/ranking-engine-store-tasks-->

<p>Walmart has received about $2.9 billion in tariff refunds, chief financial officer John David Rainey told investors on the company's second-quarter earnings call, and management is putting the money back into price rather than into profit. The disclosure reframes a question that has hung over retail for two years: when import costs fall, how much of the relief reaches the shelf, and how quickly. The answer so far is that it reaches the shelf, but through a channel most shoppers will never see.</p><p>Rainey described a disciplined approach to investing the funds back into customer experience and price leadership, prioritizing grocery and general merchandise. Chief executive John Furner said the company is deploying that into lowering prices, similar to what Target executives said when disclosing their own position. Neither company mentioned any direct payments to customers. <a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">Walmart CFO John David Rainey disclosed about 2.9 billion dollars in tariff refunds</a></p><p>The accounting detail matters more than the headline number. Rainey noted that underlying profit growth was where the company expected it to be excluding this benefit, and that operating income growth without the refund sat at the top end of its 7-10% year-over-year expectation. In other words, the refund is a windfall that has been deliberately kept out of the profit line. <a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">Operating income growth without the refund was at the top of the 7-10% range</a></p><p>Furner said there will be a combination of rollbacks across food, general merchandise, consumables and fashion, and that the company is not trying to weigh the investment heavily toward a single category because customers are looking for a variety of things across the basket. He added that the company will communicate this through signs in stores. <a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">Furner said rollbacks will span food general merchandise consumables and fashion</a></p><p>That combination is what separates a rollback program from a promotion. Promotions concentrate spend in a window and a category, while rollbacks reset the everyday price across a spread of categories for an extended period. For competitors, the second is far harder to match, because matching it requires a cost advantage rather than a marketing budget.</p><h3>Private label gets room to move</h3><p>When a retailer lowers national brand prices using refund money, the price gap between national brands and private label narrows. That normally hurts private label, but it also gives the retailer room to reposition its own tiers upward without losing the value story, which is a margin decision rather than a traffic decision.</p><h3>Suppliers face a new reference price</h3><p>Every rollback becomes a reference point in the next negotiation. A supplier that held prices through the tariff period while its retailer absorbed refunds will be asked why the shelf price did not move, and the answer will be compared against the retailer's own cost recovery. This is where price monitoring becomes a supplier management tool.</p><h3>Promotional depth compresses</h3><p>If everyday prices fall, the incremental lift available from a deep promotion shrinks. Retailers that fund promotions from a fixed budget will find the same spend buys less lift, which pushes the money toward frequency programs and loyalty pricing instead of temporary cuts.</p><p>Rainey said the financial impact from the refund receipts and reinvestment will be largely contained within the current fiscal year, with the objective of driving sustained customer benefits and share gains in the second half and into future years. That phrasing sets an expectation: the price investment has to prove itself within a defined window or it becomes a permanent cost without a permanent benefit. <a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">Rainey said the impact will be largely contained within the current fiscal year</a></p><p>The constraint is real because price cuts are easy to make and hard to reverse. Once shoppers update their reference price, restoring the old level requires either a visible justification or a slow erosion that consumers notice. Retailers that treat the refund as a one-time budget rather than a structural reset tend to end up with the cost and without the share.</p><p>Three things will show whether the reinvestment worked. The first is unit growth versus dollar growth in the affected categories, since price cuts should lift units faster than dollars if they are working. The second is the private label share trajectory, which reveals whether the value story is being carried by owned brands or by discounted national brands. The third is the promotional calendar's density, because fewer but deeper events would signal that the everyday price is doing the work.</p><p>None of these can be read from a single earnings call. They require category-level price tracking that separates list price changes from promotional funding, and that follows the same item across channels. That is the difference between knowing a refund happened and knowing where it went. <a href="https://www.modernretail.co/operations/nike-says-it-expects-986-million-in-ieepa-tariff-refunds/" target="_blank">Nike says it expects 986 million dollars in IEEPA tariff refunds</a></p><!--SEO Title: Lower Tags Replace One-Off Discounts at the Big BoxMeta Description: duty windfall reinvestmentCanonical URL: https://www.bxtdata.com/en/insights/tariff-refund-shelf-price-reset-->

<p>Best Buy is piloting a gaming hub that pulls content, deals and preorders into one place, and will open a dedicated gaming space inside a California store. <a href="https://www.retaildive.com/news/best-buy-gaming-boss-digital-hub-pilot/833471/" target="_blank">Retail Dive reported the pilot</a> alongside a detail that matters more than the store build: the retailer will open a TikTok Shop in late October selling Microsoft, Dyson, Oura and Bose products, promoted by participants in its creator platform. Read together, the two moves describe a retailer buying distribution in places where product discovery already happens, rather than waiting for shoppers to arrive.</p><p>The hub is designed as a place to explore interests, buy products and follow upcoming releases, with late-night openings planned for a Zelda title and a League of Legends pop-up in Brooklyn. That programming is a merchandising decision disguised as marketing. A launch night produces a predictable traffic spike, a defined audience and a natural reason to collect contact details, all of which are harder to obtain from a generic weekend promotion.</p><p>For category teams, the lesson is that software and hardware attach rates are decided by calendar, not by shelf position. <mark style="background:#024e9a12;">Toy prices are up 4.2% ahead of the holidays</mark><a href="https://www.retaildive.com/news/toy-prices-jump-holiday-season-inflation/832955/" target="_blank">Retail Dive's holiday pricing check</a> shows how input costs are reshaping gifting categories this quarter. In a season where price is moving, a retailer that owns the release calendar owns a reason for customers to come back without discounting the core assortment.</p><h3>Creators as a Sales Channel</h3><p>Selling through TikTok Shop with creator promotion is a different operating model from running a marketplace listing. Assortment has to be narrow enough for a short video, pricing has to survive a commission, and fulfillment has to meet the platform's promise. The brands named in the pilot are all recognizable, high-consideration products, which suggests Best Buy is testing whether social commerce can carry premium electronics rather than accessories alone.</p><h3>Incrementality or Cannibalization</h3><p>The measurement question is whether the channel creates incremental demand or simply moves existing demand. A clean test compares markets where the shop is promoted against matched markets where it is not, over the same weeks. <mark style="background:#024e9a12;">September retail sales rose 6.7% year over year, a gain driven largely by higher prices</mark><a href="https://www.retaildive.com/news/monthly-retail-sales-from-the-us-commerce-department/574252/" target="_blank">the Census series</a> is a reminder that nominal growth can hide flat volume, so a channel that looks successful in revenue terms may be cannibalizing the store down the street.</p><p>Best Buy has also integrated its assortment with ChatGPT and connected to Google's Universal Commerce Protocol, which allows purchases inside AI Mode on Search and the Gemini app. These integrations change the unit of competition. The question is no longer whether a product page ranks, but whether the product appears in the answer when someone asks which laptop runs a specific game well. That requires structured specifications and a willingness to be compared on facts.</p><h3>Structured Facts Win the Answer</h3><p>Retailers that treat product data as a catalog maintenance task will lose this layer by default. The winners will publish specifications in consistent formats, keep availability accurate at the store level, and make return terms explicit enough to be quoted. <a href="https://www.retaildive.com/news/halloween-without-candy-holiday-shoppers-cutting-budgets/833212/" target="_blank">shoppers cutting small indulgences from budgets</a> suggests consumers are being selective rather than absent, which raises the value of being the option that answers the question precisely.</p><p>The gaming hub sits inside a broader expansion into retail media and marketplace, an agenda the incoming chief executive has been publicly associated with. Media and marketplace both monetize traffic that already exists, which is why they are attractive when store growth is slow. The risk is organizational: media teams optimize for impressions, marketplace teams for take rate, and stores for margin, and without a shared definition of incremental profit the three can quietly work against each other.</p><p>For suppliers, the practical implication is that shelf space is being replaced by placement across several surfaces at once: a store fixture, a marketplace listing, a creator video, an answer engine result. <mark style="background:#024e9a12;">Moody's upgraded its retail and apparel outlook as tariff refunds eased margin pressure</mark><a href="https://www.retaildive.com/news/moodys-retail-apparel-outlook-boosted-tariff-refunds/832964/" target="_blank">the ratings note</a> gives both sides a little breathing room to negotiate those placements on economics rather than fear, which is a better basis for a multi-year plan.</p><p>A dedicated gaming space has to prove three things: that it lifts attach rates on accessories, that it produces repeat visits beyond launch windows, and that the labor and space it consumes earn more than an alternative use of the same square footage. None of these are visible in opening-week photos. They require cohort tracking over at least two quarters, with a control store as a comparison.</p><p>The social commerce test needs the same discipline. If the TikTok Shop is measured only on revenue, it will look like a success and teach nothing. Measured on incremental profit after commission, returns and fulfillment cost, it will produce an answer that can be applied to the next channel. That answer is the real deliverable of the pilot.</p><!--SEO Title: A Hobby Becomes a Retail Format With Its Own CalendarMeta Description: Best Buy is piloting a gaming hub, opening a TikTok Shop in late October and wiring its assortment into ChatGPT and Google's commerce protocol. This analysis covers channel incrementality and placement economics.Canonical URL: https://www.bxtdata.com/insights/gaming-aisle-subscription-feed-->

<p>Walmart is getting close to $3 billion in tariff refunds, according to a Modern Retail report published this week, making it the clearest signal yet that tariff relief is arriving at the corporate level first. The retailer joins a widening group of big-box players securing direct relief on duties paid during the trade dispute, while analysts note that shoppers are unlikely to see proportional price cuts at the shelf. The split between corporate windfall and consumer relief is now the central question for vendors planning holiday assortment, shelf space and promotional depth across the fourth quarter.</p><p>The refund figure, first reported by <a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">Modern Retail</a>, puts Walmart at the front of a queue that has been forming for months as tariff refund programs process claims from the peak of the trade dispute. Nearly $3 billion is an extraordinary number for a single retailer, and it changes the cash position available for inventory investment, price moves and share repurchases in the same fiscal window. For vendors watching their biggest customer, the immediate question is how much of that cash will be deployed into the assortment rather than the balance sheet.</p><p>Context matters here. <a href="https://www.modernretail.co/operations/big-box-briefing-retailers-get-direct-tariff-relief-their-shoppers-likely-wont/" target="_blank">Modern Retail's Big-Box Briefing</a> notes that retailers are getting direct tariff relief while their shoppers likely will not, a framing that has hardened into the industry consensus over the past two weeks. The relief arrives as reimbursement for duties already paid, which improves margins retrospectively rather than resetting shelf prices prospectively. That distinction is easy to miss in headline coverage, but it determines how vendors should read the news.</p><h3>Rebates versus shelf prices</h3><p>Analysts covering the refund wave point to a consistent pattern: the money lands in corporate accounts before it reaches the price tag. <mark style="background:#024e9a12;">A $3 billion refund does not mechanically become a $3 billion price cut</mark>, and <a href="https://www.modernretail.co/operations/walmart-gets-close-to-3-billion-in-tariff-refunds/" target="_blank">the reporting on Walmart's refund</a> makes the same point about the wider big-box group. Some of the cash will offset the promotional depth retailers have already absorbed, some will fund inventory, and only a fraction, if any, will show up as lower everyday prices.</p><h3>The Big-Box Briefing angle</h3><p>The Big-Box Briefing's framing is useful for vendors because it separates two timelines. <a href="https://www.modernretail.co/operations/big-box-briefing-retailers-get-direct-tariff-relief-their-shoppers-likely-wont/" target="_blank">Retailers get direct tariff relief</a> on a claims-processing schedule measured in quarters, while shelf prices respond to competitive pressure measured in weeks. When a competitor has not received the same relief, or has spent it differently, the pricing gap becomes a shelf-space negotiation rather than a cost question. Vendors who understand which timeline their buyer is operating on can prepare very different proposals.</p><p>Refund season is renegotiation season. Buyers returning to the table with stronger cash positions will push for better terms, and vendors with concentrated exposure to one or two big-box accounts have limited leverage. The realistic play is to arrive with data: sell-through by store cluster, promotional elasticity, and a clear view of which SKUs actually earn their space. Vendors who frame the conversation around assortment productivity rather than unit price tend to keep more of their margin in these windows.</p><p>There is also a timing opportunity. <a href="https://www.modernretail.co/marketing/kohls-leans-into-clearer-pricing-gift-bundles-and-uber-eats-for-the-holidays/" target="_blank">Kohl's has already signaled</a> that clearer pricing and gift bundles will anchor its holiday push, and other big-box players are expected to follow with differentiated holiday mechanics. Vendors who can package exclusive bundles or early inventory commitments may convert their buyers' cash advantage into shared promotional programs, rather than watching it become a unilateral price cut funded by vendor allowances.</p><h3>Tariff relief timing</h3><p>Whether relief reaches prices depends on competitive intensity by category. In categories where private label is strong, retailers have an incentive to hold prices and let the refund flow to margin, because private label already provides the price umbrella. In categories where national brands compete fiercely on shelf, some relief is likely to be passed through as promotional depth, at least temporarily. <a href="https://www.modernretail.co/operations/big-box-briefing-retailers-get-direct-tariff-relief-their-shoppers-likely-wont/" target="_blank">The Big-Box Briefing's assessment</a> is that shoppers will see little direct benefit, and category dynamics support that read.</p><h3>Competitive pricing moves</h3><p>Watch the membership channel as well. <a href="https://www.retaildive.com/news/walmart-sams-club-membership-challenge-to-amazon-prime/833447/" target="_blank">Retail Dive reports</a> that Walmart is enlisting Sam's Club in its latest challenge to Amazon Prime, which means the refund cash may partly fund membership pricing and exclusive member events rather than shelf prices. For vendors, this shifts the negotiation from price per unit to value per member occasion, a different economics conversation entirely. The category strategies that worked for shelf pricing will need rethinking for club-channel exclusives.</p><p>The strategic lesson from Walmart's position is that tariff relief is a temporary advantage, and temporary advantages should buy structural capability. Retailers still awaiting refunds should model how much of the eventual windfall they are prepared to invest in price, and be explicit with vendors about the split, because silence in this window gets filled by vendor anxiety. Those who treat refunds as a one-time margin event will watch competitors convert the same dollars into assortment advantage.</p><p>For vendors, the action list is short and concrete. First, map each major account's likely refund exposure before the next line review. Second, prepare assortment productivity data that shifts the conversation from allowance requests to space efficiency. Third, build holiday programs that survive both scenarios, because a buyer who spends the refund on price and a buyer who banks it will buy very differently. The refund wave is not a pricing story at all; it is a test of who reads the timeline correctly.</p><!--SEO Title: Walmart Secures Nearly $3 Billion in Tariff RebatesMeta Description: Walmart is close to $3 billion in tariff refunds, with big-box peers securing relief while shoppers see little price benefit. What it means for vendor negotiations and holiday assortment.Canonical URL: https://www.bxtdata.com/en/insights/walmart-tariff-rebates-->

<p>Target is betting on daily deals and a digital assistant to court budget-conscious shoppers this holiday season, offering more than 8,000 new gifts with more than half exclusive to the chain. Most new items sit at $20 or under, with many under $5, and the retailer is rolling out an AI-powered assistant called Ask Target on its website and app. The assortment math and the assistant are two halves of the same argument: traffic is no longer the scarce resource, conversion is.</p><p>Chief executive Michael Fiddelke framed the strategy around value, quality and affordability, describing it as luxe for less during a media briefing on Oct. 20. The chain is offering a $35 throw blanket, a $45 cashmere sweater, $10 pajamas and $5 candles, with a new set of daily deals running from Nov. 1 to Dec. 2. <a href="https://www.modernretail.co/marketing/targets-holiday-push-stresses-affordability-exclusives-and-an-ai-assistant/" target="_blank">Target CEO Michael Fiddelke described the holiday value strategy on Oct. 20</a></p><p>What looks like a promotional calendar is actually a price architecture. By anchoring a wide assortment at $5, $10 and $20 price points, the retailer gives shoppers a reason to enter the store or app repeatedly rather than once, and each entry is a chance to trade up. Owned brands carry much of the load, spanning apparel, home and beauty, which protects margin at those low entry prices.</p><p>An assistant embedded in the shopping flow solves a specific problem: the gap between arriving with a vague intent and finding a specific item. Holiday shoppers frequently arrive knowing a recipient and a budget but not a product, and that gap is where baskets stall. A conversational layer shortens the search without requiring the shopper to learn the taxonomy of the catalogue. <a href="https://www.modernretail.co/marketing/targets-holiday-push-stresses-affordability-exclusives-and-an-ai-assistant/" target="_blank">Target is rolling out an AI-powered assistant called Ask Target</a></p><p>The strategic value is not the conversation itself but the intent data it produces. Every question reveals a constraint the retailer can act on: budget ceilings, gifting occasions, category preferences. That data compounds across a season in a way that a banner impression never does, and it can be fed back into assortment and search ranking within weeks.</p><h3>56% say the economy will change their plans</h3><p>More than half of holiday shoppers say the state of the economy will affect their holiday spending plans this year. Among those consumers, 43% plan to shop for sales more often, 31% will comparison shop online more frequently, and 29% will make other adjustments to how they buy. <a href="https://www.modernretail.co/marketing/targets-holiday-push-stresses-affordability-exclusives-and-an-ai-assistant/" target="_blank">56% of holiday shoppers say the economy will affect their plans</a></p><h3>4.2% growth to a record $1.013 trillion</h3><p>Forecasts put U.S. holiday retail sales for November and December growing 4.2% year over year to a record $1.013 trillion, though part of that growth may stem from higher prices rather than additional units. Growth in dollars and growth in volume are diverging, and the gap is where promotional intensity gets decided.</p><h3>Half the assortment is exclusive</h3><p>More than half of the 8,000 new gifts are exclusive to the chain. Exclusivity is the one lever that makes price comparison harder, and in a season where 31% of constrained shoppers plan to compare more often, removing the comparison is worth more than cutting the price again.</p><p>Low entry prices and exclusive items pull in different directions. Entry prices drive traffic but compress margin, while exclusives protect margin but require design and sourcing lead time that cannot be added in October. The balance is struck through owned brands, which let the retailer set both the cost and the shelf price without negotiating against a national brand's promotional calendar. <a href="https://www.modernretail.co/marketing/kohls-leans-into-clearer-pricing-gift-bundles-and-uber-eats-for-the-holidays/" target="_blank">Kohls is leaning into clearer pricing and gift bundles for the holidays</a></p><p>The risk is that the value message becomes the only message. When a retailer trains shoppers to wait for the daily deal, full-price sales in the surrounding weeks weaken, and the promotional calendar becomes a permanent cost rather than a seasonal one. The daily cadence from Nov. 1 to Dec. 2 is long enough that this effect is worth measuring rather than assuming.</p><p>Three indicators matter more than top-line sales. The first is repeat visit frequency within the promotional window, since the daily deal structure only pays off if shoppers return. The second is attachment rate on entry-price items, meaning how often a $5 purchase is accompanied by a full-margin item. The third is assistant-assisted conversion, which separates shoppers who found what they wanted from those who simply left.</p><p>None of these are visible in a standard sales report. They require joining traffic, basket and conversation data on a single timeline, and reading them before the season closes rather than after. Retail analytics teams that only review holiday performance in January are measuring history, not steering the quarter. Albertsons, which is accelerating turnaround efforts, is a useful reminder that most of the work that decides a quarter happens below the sales line. <a href="https://www.modernretail.co/operations/big-box-briefing-whats-fueling-albertsons-identity-crisis-as-it-accelerates-turnaround-efforts/" target="_blank">Albertsons is accelerating turnaround efforts amid an identity crisis</a></p><!--SEO Title: Target Bets on 8,000 Gifts and an AI AssistantMeta Description: holiday price architectureCanonical URL: https://www.bxtdata.com/en/insights/holiday-assortment-ai-assistant-conversion-->