Food Industry

End-to-end data mining and AI algorithm solution for food enterprises, deeply integrated across procurement, production, sales, and customer segmentation.

• Data Foundation Layer: Integrates ERP, CRM, SRM, MES multi-source systems into a standardized data warehouse
• Algorithm Model Layer: Deploys customer segmentation, sales forecasting, performance profiling, and churn early-warning AI engines
• Business Application Layer: Smart BI dashboards and mobile decision systems — data insights reach frontline operations
• Feedback Loop: Business results fed back to models in real-time, creating a growth flywheel

Adapted RFM model combined with K-Means++ dynamic clustering for automated customer grouping.

• Core Champion Clients (1-3 accounts): High volume, stable frequency — dedicated manager + custom R&D + strategic dialogue
• Loyal Growth Clients (10-20%): Stable purchases, high new-product acceptance — priority new product recommendations + cross-sell incentives
• Dormant Potential Clients (~20%): No recent orders but historically valuable — trigger reactivation + proactive field visits
• At-Risk Clients: No transactions in 6+ months — root-cause research + targeted win-back campaigns

Fusing LSTM to capture cyclical patterns with GBDT to parse temperature, trend, and other external features — eliminating single-model bias.

• Full-scenario demand sensing: Covers purchasing habits, seasonal peaks, and new-product pulse demand
• Dynamic threshold alerts: High-risk SKUs auto-trigger replenishment reminders; weekly precision purchasing suggestions
• On-demand production: Forecast results auto-convert into SKU-level production instructions, reducing idle capacity

A four-dimensional metric system (result-process-structure-profit) to reveal each rep's true value contribution.

• Beyond single-metric KPIs — covers revenue, visit conversion, new/existing customer mix, and order net profit
• CRM behavioral data drives capability radar charts, quantifying strengths across dimensions
• Smart mentor matching: Automatically pairs reps with internal top performers in their weakest area for targeted learning

Order-level profit equals actual revenue minus actual cost (production + sales + logistics + returns), full-chain cost traceability.

• Production material cost: MES system actual dosing, precisely linked to SKU and order batch
• Labor & energy: Scientifically allocated by work-order hours and energy standards
• Full-scope sales expenses: Promotions, commissions, fulfillment freight traced to the triggering order
• Profit-oriented KPIs: Shift from volume-first to margin-first — identify profit cows vs. revenue traps

AI-driven opportunity scoring, trend recommendations, marketing ROI attribution, and dynamic pricing.

• Opportunity scoring model: Predicts close probability and value; high-frequency browsing or large inquiries trigger instant alerts
• Trend-driven recommendations: Integrates industry consumption trends with product knowledge graphs — auto-suggests trending products during sales visits
• Marketing ROI attribution: MMM / Shapley value attribution precisely decomposes channel contribution weights
• AI dynamic pricing: Precise price elasticity measurement — maintain premium on differentiated products; match tiered pricing for price-sensitive bulk buyers