Empowering every partner to be a fresh expert at Waitrose
Standardise F&V expertise across 300 stores in the UK with AI.
Aligning 300 stores on F&V ordering process
Across 300 locations, fresh ordering moves from habit to one clear, expert process. Teams get the same daily guidance for every SKU, so availability rises, waste falls, and Ops regains control.
Current state
Inconsistent execution across stores. Manual checks. Waste or stockouts. High turnover.
With AI Ordering
Standardised orders across all stores. Zero stockouts on bestsellers, controlled end‑of‑day on sensitives. Confident, explainable decisions in seconds. Scalable process with minimal training.
What alignment delivers across 300 stores
By standardising the daily F&V ordering process, store teams stop guessing and follow the same expert guidance.
0 stockouts on 20/80
Protection on what matters most
3 sec to order
Faster ordering at the shelf
Fresher assortment through tuned quantities
Less overstock. Better shelf rotation.
Turn your fresh ordering into a strategic execution tool with AI-powered recommendations
Our Fresh Operating System uses artificial intelligence to guide store teams in placing the most accurate, fresh, and profitable orders every day for loose fruit & vegetables.
Fresh is strategic.
Manual ordering drains time and profit.
Time Lost
Department managers spend hours on paper-based ordering instead of focusing on shelf execution.
Data Gaps
Unreliable data causes missed quantities, empty shelves and avoidable waste.
Limited Expertise
Only 15–20% of staff have deep fresh expertise.
Skill Shortages
Turnover and skill gaps significantly impact performance.
AI-powered ordering that frees time and protects margins for Waitrose
Optimal order recommendations per SKU based on sales, weather, and promotions.
Digitalized scheduler
Intuitive tablet interface for in-aisle ordering. One-click validation, confidence scoring, and 20/80 prioritization. No specialist knowledge needed.
Real-time inventory reconciliation
Fix ERP stock inaccuracies with probabilistic inventory management.
AI-powered order recommendations
ML analyzes sales, weather, promos, and seasonality to recommend optimal quantities. Maximize freshness, minimize waste.
Proven results from fresh ordering standardisation
Waste reduction on F&V
Service rate on 20/80 SKUs
Points gain in order accuracy
What our clients say
Proven results from retailers worldwide
Trusted by retailers in the World and the UK
How Fresh Magic can work at Waitrose ?
Four steps to standardised ordering across 300 stores
Digitalize the order list
Digitalize the order list
Precision ordering at scale
Review your daily order list with AI-generated recommendations for each SKU. The system pre-calculates optimal quantities based on your strategy, sales forecast, current inventory, weather forecasts, and promotional calendars, eliminating manual calculations and guesswork
Product inventories that match reality
Product inventories that match reality
Finally, accurate inventory
Our technology probabilistic inventory engine detects discrepancies between ERP data and reality, flagging suspicious stocks to prevent ordering errors that lead to waste or stockouts. and if needed, you can always update real inventory levels directly from the aisle using your mobile device.
Challenge the AI suggestions
Challenge the AI suggestions
Human insight, AI precision
Validate or adjust order proposals based on your on-ground knowledge: damaged products, local events, or display changes. The AI learns from every override, continuously improving recommendations to match your store's unique patterns and your expertise.
Validate the order
Validate the order
50% faster ordering
Submit your finalized order with one click. The system sends it directly to your ERP for fulfillment while tracking outcomes (sales, waste, stockout) to refine future recommendations. Complete the entire workflow in 30-50% less time than manual ordering.
Questions
Common questions about implementing AI ordering across 300 stores.
The AI analyzes signals including: historical sales, inventory levels, weather forecasts, promotional calendars, seasonality curves, local events, and day-of-week patterns. It learns from every order outcome to continuously improve recommendations, balancing your strategic goals, revenue growth, waste reduction, or margin optimization.
Yes, our technology integrates via API or SFTP with existing ERP systems and POS platforms. Orders are sent back to your ERP for fulfillment, and sales data flows in real-time to refine forecasts. The system acts as an intelligence layer on top of your existing infrastructure.
Ordering time reduction is immediate. Waste reduction and sales uplift typically appear within 3 months as the AI learns store-specific patterns. Full optimization, including inventory accuracy and strategic goal alignment, occurs after 6 months when the system has sufficient historical data to fine-tune recommendations.
That's precisely the point! Our tablet based technology turns non-experts into expert-level orderers. The AI provides recommendations with confidence scores and explanations. Teams validate or adjust in seconds. The system standardizes excellence across the network, regardless of individual skill levels or turnover.
Minimal training required. The mobile interface is intuitive and designed for in-aisle use. Most managers are proficient within 2 hours of onboarding. The app guides teams through the workflow: review order list, adjust stock levels if needed, validate or modify AI proposals, submit order. The system handles complexity behind the scenes.
Absolutely. The technology is designed as an assistant, not an autopilot. Your teams maintain full control. Store managers can easily adjust AI-recommended quantities or correct estimated stock levels when physical reality differs from system data. Every adjustment feeds back into the AI, helping it learn your store's patterns and improve future recommendations. This collaborative approach combines AI accuracy with human expertise, ensuring the most accurate orders possible.