Reduce Food Waste Losses by Up to 20% Before They Happen
Predict food waste before it happens by cost, volume, and units. Reduce losses, boost margins. Like a weather forecast, but for your inventory.
No credit card needed. Use your recent inventory data.
Case Study
85% Accurate Waste Forecasting Cuts Inventory Losses
We ran a pilot using over 100,000 inventory records from a retail and supplier dataset to test our waste prediction model.
✅ Our system correctly predicted waste outcomes with over 85% accuracy.
✅ Even in the 500 worst-case scenarios, the difference between predicted and actual waste was just 1.5 units on average.
We replicated the test across additional datasets with consistent results.
What This Means
Operations teams can now anticipate stock loss and adjust their ordering accordingly.
Suppliers can prevent overproduction and reduce returns.
Businesses can cut inventory waste costs and hit sustainability targets.
By reducing waste losses by up to 20%, businesses can boost profit margins and free up working capital.
Blue: actual units | Orange: predicted units in worst-case predictions.
Want to see how much waste you can cut?
Services
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🧠 Predictive Waste Forecasting
Get daily or weekly forecasts of food waste by units, cost, and volume before it happens.
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📊 Inventory Risk Scoring
See which products are most likely to be overstocked or wasted based on your real sales and stock data.
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🔌 API-Ready & Easy to Integrate
Connect Frontmeal to your existing inventory or POS systems with minimal setup.
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💰 ROI-Focused Insights
Get actionable data to adjust purchasing and reduce waste costs, backed by over 85% model accuracy.
About Me
Founder
Over 5 years of industry work experience with Data & AI projects, handling sensitive data in Education and Energy domains. My PhD is in data analytics and machine learning.
Who’s It For
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Waste = margin loss. Perishables like produce, dairy, and bakery often have the highest shrink rates.
Predicting waste lets them order smarter, reduce markdowns, and avoid overstocking.
Even a small % reduction in waste can equal 6–7 figures in annual savings across multiple locations.
Helps hit sustainability KPIs, which are increasingly tied to brand image and investor confidence.
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Overstocking leads to expired goods, product returns, and excess handling costs.
Understocking creates lost sales, missed delivery windows, and damaged client relationships.
Forecasting waste downstream helps them optimise production and logistics before it's too late.
They can also offer this insight to retail clients as a value-added service.
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Food cost % is a critical profit driver, and waste quietly erodes it every day.
Forecasting waste helps kitchens order and prep accurately, especially across multiple locations.
Reducing spoilage directly improves margin without raising prices.
Helps achieve ESG goals and prevent health & safety issues from expired stock.
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They often over-order "just in case", leading to massive food waste.
Tight budgets and growing pressure to cut waste and meet sustainability targets.
Accuracy in forecasting meals and inventory helps reduce costs without sacrificing quality.
Allows better planning, budgeting, and reporting to stakeholders or auditors.
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Their clients (retailers, restaurants, etc.) are all struggling with waste.
Adding your API helps them offer predictive insights, which increases product stickiness and upsell potential.
Helps them differentiate from competitors by offering actionable, cost-saving intelligence.
They get to embed a high-impact tool without building it from scratch.
Why It Matters
Predict waste before it happens, not just track it after the fact.
Increase margins (ROI) overall with fewer food waste operations.
Save money on stock while improving operational control.
Over 85% accuracy tested on 100,000+ records.
Easy to integrate, no need to change existing systems.