Retail analytics
Buyer FAQ
Practical answers about evidence, integration, rollout and operating decisions.
FAQ
Questions about retail and mall operations.
Product interaction, department-store counter traffic, checkout service, and sales-data context.
Discuss your site's requirementsGeneral questions & other industries Retail queue analytics guideInstallation, pricing & support FAQWhat is retail analytics?
Fortune AI provides retail analytics software that connects POS transactions, foot traffic and camera evidence. Store teams use it to improve conversion rate, queue management, staffing and service coaching, with approved actions and verified results.
What to measureComparable periods, approved action and verified business outcome.
How do we turn retail analytics into an approved improvement?
Fortune AI connects the source records and camera evidence. The responsible manager reviews the AI recommendation, approves the action and assigns its owner. Verify conversion, service follow-up and campaign execution across comparable stores.
What to measureStore, period, POS definition, footage and approved staffing change.
What is included in rollout and ongoing support?
Receive an itemized scope, camera/data map, acceptance examples, training and support contact. Confirm hardware, integration, retention, subscription and support costs with milestones and responsibilities.
What to measureScope, acceptance evidence, costs and escalation owner.
How should we evaluate a checkout pilot?
01 · Define the wait
Time queue entry to service start, separately from service duration. Record departures before service and waits still open when observation ends.
02 · Match the periods
Record day, hour, arrivals, promotions, and active counters. Report the sample count and missing footage; do not select only favorable clips.
03 · Separate the outcomes
Compare the wait distribution on matched periods. Calculate financial ROI from verified benefits and actual costs; do not count customer waiting time as paid labor saved.
Agree on camera use, access, retention, and any POS integration with the store operator, then compare matched periods under the same measurement rules.
How we scope and validate a measurementWhat scope and privacy requirements should we agree on?
Agree on the zones, arrival, service-start and service-end events, and active-counter definitions. Do not infer identity, emotion, or purchase intent. Fitting-room interiors are excluded. Purchase and sales analysis requires separately authorized transaction data.
Why do foot traffic reports and POS conversion rate disagree?
Visits and transactions measure different events. Fortune AI aligns entrance boundaries, staff exclusions, store hours, POS timestamps and the conversion denominator. Managers review the store, period and supporting footage together, then compare matched trading periods before changing staffing or merchandising.
How do I compare stores without switching between reports and cameras?
Start with one operating question across selected stores. Fortune AI brings the relevant visits, POS results, service coverage and evidence into the same review, with store and period attached. The manager approves a local action, assigns its owner and checks the next comparable peak using the same measurement rules.
Fortune AI
Bring one operating question.
See your records, the relevant scene and an accountable next action in one review.