Customer Evidence

Customer Case Center

These anonymized cases explain how BXTData connects a business question, data coverage, analytical method, finding, and action into a reviewable evidence chain.

O2O · Beverages

Instant retail availability diagnosis

Business question: Key SKU availability varied across cities and platforms.
Data coverage: Platforms, cities, trade areas, stores, SKUs, and stock status.
Method: SKU mapping, store coverage, stock-out detection, and regional comparison.
Finding: High-demand low-coverage areas and persistent stock-out stores.
Action: City and store priorities for distribution follow-up.

Price governance · Alcohol

Cross-platform price compliance

Business question: Stacked promotions obscured effective prices and slowed evidence capture.
Data coverage: Products, coupons, campaigns, and price pages across commerce channels.
Method: Promotion normalization, specification matching, anomaly rules, and evidence capture.
Finding: Abnormal links, concentrated periods, and high-risk channels.
Action: Tiered alerts and verifiable remediation lists.

Reviews · Personal care

Review issue attribution

Business question: Large review volumes hid recurring product issues.
Data coverage: Reviews, ratings, product versions, competitors, and time trends.
Method: Cleaning, topic clustering, sentiment, root-cause attribution, and benchmarking.
Finding: Recurring packaging, usage, and expectation gaps.
Action: Issue-based plans for product, service, and content teams.

Innovation · Food

New-product opportunity validation

Business question: Concept decisions lacked cross-category evidence.
Data coverage: Attributes, ingredients, flavors, price bands, demand signals, and feedback.
Method: Concept taxonomy, trend, competitor structure, and review-demand analysis.
Finding: Growing concepts, unmet needs, and experience risks.
Action: Concept priorities and consumer validation directions.

Ecommerce · Mother & Baby

Digital shelf position analysis

Business question: Competitive position across search and category entry points was unclear.
Data coverage: Listings, search results, category positions, prices, promotions, and reviews.
Method: Product matching, position tracking, SKU coverage, and competitor share.
Finding: Missing entry points, price-band gaps, and competitor strongholds.
Action: Priorities for listings, channel resources, and campaigns.

GEO · Consumer brand

AI search fact consistency monitoring

Business question: AI platforms described the brand and products inconsistently.
Data coverage: Prompt sets, answers, cited sources, competitor mentions, and changes over time.
Method: Answer capture, entity recognition, citation analysis, benchmarking, and risk flags.
Finding: Fact gaps, weak source pages, and competitor preference.
Action: Strengthen official facts, FAQs, and citation-ready evidence.