Revenue Today
ยฃ284K
โ 18% vs last Tue
Gross Margin
47.2%
โ 3.1pts AI pricing
Stockout Alerts
3
POs auto-raised
Basket Uplift (AI)
+ยฃ8.40
Personalisation engine
๐ค AI Agent Status
14 retail AI agents across inventory, pricing, customer, and operations
Demand Forecasting847 SKUs ยท 92% accuracy
Dynamic Pricing EngineLive ยท 2,847 price changes
Personalisation AI+ยฃ8.40 basket uplift
Inventory Intelligence3 stockouts ยท POs raised
Churn Prevention12 high-risk customers
Returns IntelligenceReturns โ23% YoY
๐ก Live Retail Intelligence Feed
Real-time AI across all 12 stores and ecommerce channels
Top Inventory Alerts
โ SKU-0847 ยท Nike Air Max 90 UK8 ยท 0 units ยท 47 sold/day โ PO auto-raised: 200 unitsSTOCKOUT
โ SKU-1203 ยท Patagonia Fleece M ยท 4 units ยท predicted 0 in 2 days โ Reorder NOWLOW STOCK
โ SKU-2847 ยท Winter Boots ยท 84 units ยท predicted demand โ62% โ Markdown 30% recommendedOVERSTOCK
Why RetailOS
๐ฆ Inventory: The Hidden P&L Killer
Retailers lose 4% of revenue to stockouts and tie up 30% of working capital in overstock. RetailOS predicts demand at SKU-store-day level, raises POs automatically, and recommends markdowns before overstock becomes deadstock.
๐ฐ Pricing: Margin Left on the Table
Static pricing leaves 8โ12% of gross margin uncaptured. Dynamic Pricing Engine adjusts prices in real time based on demand signals, competitor pricing, inventory levels, and elasticity models โ 3.1pts GM improvement.
๐ฏ Personalisation: Every Customer Different
Generic promotions convert at 1โ2%. Personalised recommendations convert at 8โ14%. The Personalisation AI serves unique offers to every customer based on purchase history, browse behaviour, and predicted intent โ +ยฃ8.40 basket uplift.
Total Agents
14
Decisions/Hour
12,847
Revenue Impact
+ยฃ284K
GM Uplift
+3.1pts
Inventory & Merchandising
Demand Forecasting
SKU-store-day demand prediction from sales history, seasonality, weather, local events, and competitor promotions. 92% accuracy. Drives auto-replenishment and markdown decisions.
Running ยท 847 SKUs
Reflection + Time SeriesInventory Intelligence
Real-time stock monitoring across all stores and DCs. Detects stockouts 48โ72h before they occur. Raises POs automatically. Optimises safety stock by SKU and location.
Running ยท 3 alerts
Sequential + RulesDynamic Pricing Engine
Adjusts prices in real time from demand elasticity, competitor pricing, inventory levels, and margin targets. 2,847 price changes today. +3.1pts gross margin. Human approval for category-level rules.
Running ยท 2,847 changes
ReAct + ElasticityCustomer Intelligence
Personalisation AI
Serves unique product recommendations, promotions, and content to every customer across email, app, and in-store. +ยฃ8.40 basket uplift. Conversion rate: 11.4% vs 1.8% generic.
Running ยท 47K customers
ReAct + CollaborativeChurn Prevention
Detects lapsing customers 90 days before churn using purchase recency, engagement decline, and competitor signals. Triggers personalised win-back offers. 67% retention success rate.
Running ยท 12 at risk
ReAct + SignalsNext Best Action
Determines the optimal next action for each customer touchpoint: promotion, recommendation, loyalty reward, or service intervention. Maximises lifetime value across all channels.
Running ยท Live
Planning + LTV ModelOperations Intelligence
Supplier Intelligence
Monitors supplier lead times, quality scores, and price trends. Flags supply chain risks before they become stockouts. Negotiation intelligence from market pricing benchmarks.
Running ยท 84 suppliers
ReAct + Supply ChainStore Operations AI
Optimises staffing schedules from demand forecasts, monitors planogram compliance via image AI, and tracks store KPIs in real time. Labour productivity +23%.
Running ยท 12 stores
Planning + VisionReturns Intelligence
Predicts return likelihood at point of purchase, identifies serial returners, optimises returns routing, and extracts product quality signals from returns data. Returns rate โ23% YoY.
Running ยท Returns โ23%
Reflection + MLTotal SKUs
847
Stockouts
3
Overstock SKUs
47
Inventory Accuracy
99.2%
๐ฆ Top SKU Intelligence
Demand vs stock ยท AI forecast ยท recommended action
SKU-0847
Nike Air Max 90 UK8
STOCKOUT
SKU-1203
Patagonia Fleece M
2 days
SKU-2847
Winter Boots
84 units
SKU-3412
Levi's 501 32/30
Optimal
SKU-4891
Adidas Stan Smith W7
Optimal
SKU-5023
North Face Jacket XL
STOCKOUT
๐ Inventory Health Summary
Across all 12 stores and distribution centres
Stockouts (3): ยฃ47K revenue at risk per day. POs auto-raised for all 3. Expected stock arrival: 48โ72h. Expedited shipping recommended for SKU-0847 (highest velocity).
Overstock (47 SKUs): ยฃ284K working capital tied up. Seasonal winter items. Markdown cascade recommended: 15% now โ 30% in 14 days โ 50% in 28 days. Predicted clearance: 94%.
Optimal (797 SKUs): 94.1% of SKUs within target service level. Safety stock calibrated to 97.5th percentile of demand variability.
SKUs Forecast
847
Accuracy (MAPE)
92%
Horizon
16 weeks
Forecast Signals
12
๐ Demand Forecasting โ Signal Architecture
RetailOS demand forecasting combines 12 signal types per SKU per store: (1) Own sales history โ trend, seasonality, and weekly patterns. (2) Weather โ temperature drives clothing category demand, precipitation drives footwear. (3) Local events โ concerts, sports fixtures, school calendars. (4) Competitor promotions โ pricing intelligence triggers demand shifts. (5) Social signals โ trending products detected 1โ2 weeks before store demand. (6) Economic indicators โ consumer confidence and discretionary spend signals. Forecast horizon: 16 weeks at day-store level. Average MAPE: 8% (vs 22% manual planning). Safety stock reduction: 34% without service level degradation.
Price Changes Today
2,847
GM Uplift
+3.1pts
Revenue Lift
+8.4%
Competitor Prices Tracked
47K
๐ฐ Dynamic Pricing โ How It Works
Dynamic Pricing Engine adjusts prices in real time within human-approved guardrails. Inputs: demand elasticity by SKU and customer segment, competitor pricing (tracked every 4 hours), inventory levels, margin targets, and promotional calendar. When demand for SKU-0847 exceeds forecast by 40%, the engine raises price by 8% โ capturing margin before stockout. When SKU-2847 is tracking 62% below forecast, a 30% markdown is recommended to the category manager for approval. No price changes are made autonomously โ the engine recommends, category managers approve. All competitor price tracking is from public sources only.
Customers Profiled
47K
Basket Uplift
+ยฃ8.40
Email Conversion
11.4%
vs 1.8% generic
Revenue from AI Recs
ยฃ47K
Today
๐ฏ Personalisation Intelligence
Personalisation AI builds a real-time preference model for every customer from purchase history, browse behaviour, return patterns, and demographic signals. For each touchpoint (email, push notification, homepage, in-store screen), it selects the optimal product recommendation, promotion, and message. Customer A (trail runner, buys premium): shown new trail shoe launch with zero discount. Customer B (bargain hunter, price sensitive): shown clearance footwear with 30% off message. Same campaign budget, completely different execution. GDPR-compliant: all personalisation based on consented first-party data. Customers can view and delete their preference profile at any time.
At-Risk Customers
12
High LTV ยท 90-day flag
Win-back Success Rate
67%
LTV at Risk
ยฃ84K
Avg Customer LTV
ยฃ7,000
โค๏ธ Churn Prevention Intelligence
Churn Prevention Agent monitors 40+ engagement signals for every loyalty customer: purchase recency and frequency decline, email open rate drop, app session reduction, competitor mentions in support interactions, and NPS trend. Flags high-LTV customers showing early lapse signals 90 days before predicted churn โ while win-back investment still makes economic sense. Each at-risk customer receives a personalised intervention: exclusive early access offer, loyalty points boost, personal shopping appointment, or targeted markdown on their favourite category. Win-back success rate: 67% on high-LTV customers. ROI on retention spend: 12:1.
Active Suppliers
84
Lead Time Risks
3
On-Time Delivery
94%
Cost Savings (AI Negs)
ยฃ284K
๐ค Supplier Intelligence
Supplier Intelligence monitors 84 suppliers across delivery performance, quality scores, price trends, and supply chain risk signals. Port congestion, manufacturing delays, and currency movements detected 4โ6 weeks ahead of impact. Negotiation intelligence: AI benchmarks each supplier's prices against market rates, identifies where margin is being left and surfaces the data for buyer negotiations. Supplier performance dashboards automatically generated for quarterly reviews. Alternative supplier recommendations provided when primary supplier risk exceeds threshold.
Stores Monitored
12
Labour Productivity
+23%
Planogram Compliance
94%
Footfall Conversion
34%
โ8pts AI optimisation
๐ช Store Operations Intelligence
Store Operations AI combines footfall prediction, labour scheduling, planogram compliance monitoring, and real-time KPI tracking for all 12 locations. Staffing: demand forecast drives optimal shift scheduling โ right staff, right time, right skills. 23% labour productivity improvement. Planogram compliance: vision AI checks shelf layout against plano during store hours and flags non-compliance to store managers. Conversion: footfall and basket data identifies where customers are dropping off in the purchase journey โ merchandising adjustments recommended with expected conversion impact.
Return Rate
8.4%
vs 12.1% pre-AI
Return Rate Reduction
โ23%
Serial Returners ID'd
284
Saved P&L (Annual)
ยฃ840K
๐ Returns Intelligence
Returns Intelligence reduces return rates by acting at three points: (1) Pre-purchase: size recommendation accuracy and detailed product content reduce size/fit returns by 34%. (2) Post-purchase: returns likelihood scored at order dispatch โ high-risk items get personalised product use guidance and care instructions. (3) Post-return: product quality signals extracted from return reasons feed directly to buying teams and suppliers. Serial returner identification enables policy enforcement without harming genuine customers. Return routing optimisation reduces processing cost by 18%.
Agents Active
14
Decisions/Hour
12,847
Revenue Impact
+18%
GM Uplift
+3.1pts
๐ก Live Agent Trace
๐ก Retail AI Governance
Pricing: category manager approval: All price changes require category manager sign-off. Dynamic pricing operates within pre-approved guardrails. No automated price changes without human approval.
Personalisation: GDPR consent: All personalisation based on consented first-party data only. No third-party data sharing. Customers can view, correct, and delete their profile.
Competitor pricing: public sources only: All competitor intelligence from publicly available pricing. No scraping of restricted sources.