Store Intelligence
The AI Decision Hub for Retail Stores

Compress cross-team sales diagnosis from days to minutes. Store Intelligence shifts teams from hunting for data to having insights pushed to them, and from passively answering questions to proactively diagnosing problems.

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100% Faster DecisionsFrom 3 days to 30 minutes. How fast you locate a problem determines how much of the loss you can still contain.

80%+ Exception CoverageThree-way automated cross-diagnosis covers the large majority of sales anomaly scenarios.

3+1 StructureProducts, stores, customers, and an intelligent decision hub

Typical Decision Flow

Business Question

A best-selling product suddenly dropped 30% month over month in East China.

System Processing

The system diagnoses across product, store, and customer dimensions, identifies stockout or mismatch issues, estimates impact, and ranks priorities.

Final Output

A prioritized action list is pushed to accountable store managers or replenishment teams and synced into business systems.

Product Positioning

Focused on day-to-day single-store operations, Store Intelligence connects store inspections, staffing, display, promotions, and member operations into one decision loop. It explains what happened and recommends what should be done today, who should do it, and the expected improvement.

Not report viewing — real-time command of store operations

Sense

Real-Time Store Anomaly DetectionMonitor traffic, conversion, attachment rate, and stockouts to find operational shifts automatically.

Diagnose

Store-Specific Exception DiagnosisBreak down problems by time period, shift, category, and campaign to pinpoint the root cause and the affected scope quickly.

Act

Action Lists for Frontline TeamsSend prioritized recommendations to store managers and supervisors for closed-loop follow-up.

Traffic conversionShift efficiencyDisplay & traffic-flow optimizationStockout & slow-mover alertsStore task dispatchClosed-loop tracking

Store Command CenterConnects operating data with actions from issue detection to result tracking.

Action-to-Result Closed LoopTurns recommendations into manager and supervisor tasks with less handoff loss.

Intraday OptimizationPrioritizes issues and actions around today's operating goals.

Who It Is For

Store Managers

Single-store issues are hard to isolate, and actions lag behind.

Receive same-day alerts and action recommendations instead of spending hours searching through reports.

Regional Supervisors

Managing across stores is hard, and problems take too long to locate.

Compare store health and performance across a region, then target coaching to the stores with the largest gaps.

Retail Executives

Company-wide data lags, and decisions lack quantified evidence.

See quantified business impact behind sales changes and coordinate resources with a shared operating view.

Replenishment Specialists

Stockout alerts arrive late, and product-store mismatch is widespread.

Get early stockout and product-store mismatch alerts with precise transfer and replenishment recommendations.

Category Managers

New-product tracking and category efficiency analysis take too long.

Track new-product performance, analyze category efficiency, and improve assortment and delisting decisions.

Member Operations

Churn risk is only noticed after the fact.

Monitor member activity, identify churn risk, and trigger win-back actions earlier.

Core Capabilities

Diagnose daily operations across three dimensions — product, store, and customer — then turn conclusions into action.

Product Diagnosis

Cover item performance, stockout alerts, new-product tracking, and category analysis to pinpoint bottlenecks on the product side.

Product efficiencyStockout alertNew-product tracking

Cover high-frequency analysis scenarios such as single-item performance, category trends, and inventory health, so merchandise moves faster.

Store Diagnosis

Analyze single-store output, regional ranking, store health, and conversion funnels to locate operational weak spots faster.

Store outputRegional rankingStore health

Build the diagnostic workflow around store performance breakdown and execution standards, so regional supervisors pin down coaching priorities faster.

Customer Diagnosis

Focus on member health, activity trends, average order value, and market share to spot growth opportunities and churn risk from the shopper's perspective.

Member healthActivity trendsAOV analysis

Help brands see conversion efficiency clearly when customer structure shifts or campaigns are reviewed, reducing customer churn.

AI Diagnosis Hub

Convert operating data into conclusions, then conclusions into prioritized actions with estimated impact.

Auto attributionImpact sizingAction dispatch

From anomaly detection to cross-diagnosis to closed-loop action, improve the speed and efficiency of end-to-end decision making.

Product Form

Multi-Terminal Touchpoints

Deliver insights and task lists through enterprise chat, mobile apps, dashboards, and command centers.

Enterprise chatMobile appCommand center

Store Operations Decision Hub

Connect sensing, diagnosis, and action dispatch into one continuous execution flow.

Operations hubDiagnosis engineAction dispatch

Store Operations Data Foundation

Integrate POS, traffic, staffing, and inventory data into standardized retail metrics.

POS integrationTraffic countersInventory metrics

Key Mechanisms

Intraday Exception Detection

Monitor sales pacing and store performance against targets throughout the day.

Three-Dimensional Diagnosis

Evaluate product, store, and customer drivers together rather than looking at isolated numbers.

Quantified Decision Support

Attach estimated revenue impact to each operational gap so teams know what to tackle first.

Action-Oriented Dispatch

Send specific operational adjustments directly to the people responsible for executing them.

Typical Business Scenarios

Solve everyday store execution problems with structured diagnosis and prioritized action lists.

Sales Drop Attribution

Customer Challenges: When sales drop, teams struggle to tell whether the decline comes from traffic, average order value, or a core-category stockout.

Decision: The system traces conversion funnels, compares benchmark stores, and points out the root causes.

Cross-Store Performance Comparison

Customer Challenges: Performance across stores varies widely, but regional managers lack time to investigate each store individually.

Decision: The system compares sell-through and conversion funnels across stores, identifies best- and worst-performing locations, and gives planning and supply teams quantified evidence for reorders or promotion changes.

Stockout and Slow-Mover Management

Customer Challenges: Fast-selling items run out of stock while slow movers tie up shelf space and cash flow.

Decision: Predict stockout risks and slow-moving trends early, and generate replenishment or transfer tasks automatically.

Frontline Coaching and Execution

Customer Challenges: Store managers have varying experience levels and struggle to translate broad business targets into daily actions.

Decision: Deliver prioritized daily action checklists and coaching points tailored to each store's weaknesses.

Business Value

Let data genuinely guide store operations, improving both sales and labor efficiency.

Higher Attachment & AOV

Diagnose associate and product mix gaps to increase cross-selling rate and average ticket size.

Lower Overstock Risk

Early warning on slow-moving risk accelerates merchandise turnover and reduces tied-up capital and markdown loss.

Empowered Store Managers

Turn complex operating data into simple action instructions, sharply reducing each manager's dependence on personal experience.

Agile Market Response

Monitor store anomalies in real time and shorten the cycle from problem detection to resolution, so you act before competitors do.