Technology6 min read

Integrating Food Waste Data with Your POS System

Waste data combined with sales data reveals much more than either alone. Here's how to connect them.

FT

FoodSight Team

January 2025

Food waste data is valuable on its own. Combined with point-of-sale data, it becomes powerful—revealing relationships between what you sell and what you waste.

Why Integration Matters

Waste per cover: Normalise waste by sales volume for meaningful comparisons Menu item analysis: Connect waste to specific dishes and ingredients Forecasting input: Predict waste based on expected sales Cost allocation: Attribute waste costs to menu items Pattern analysis: Understand how sales mix affects waste

Integration Approaches

Manual export/import: Download data from each system, combine in spreadsheet. Works but labour-intensive.

API integration: Systems communicate directly, sharing data automatically. Most reliable.

Data warehouse: Both systems feed central data store for combined analysis.

Native integration: POS and waste systems from same vendor with built-in connection.

What to Connect

From POS:

  • Covers/transactions
  • Sales by item
  • Sales by time period
  • Discounts and comps
  • Service type (dine-in, takeaway, delivery)

From waste system:

  • Weight by category/item
  • Timestamps
  • Waste type (prep, plate, spoilage)
  • Environmental metrics

Insights from Integration

With connected data, you can answer:

  • Which menu items have worst waste-to-sales ratios?
  • Does waste per cover vary by day or service?
  • How does sales mix affect total waste?
  • What's the true fully-loaded cost of each dish?
  • How do promotions affect waste patterns?

Implementation Considerations

Data compatibility: Ensure systems can exchange data in usable format Timing alignment: Match waste data timing to sales data periods Category mapping: Align waste categories with menu categories Data ownership: Clarify who owns combined data Maintenance: Plan for ongoing integration maintenance

Getting Started

  1. Identify what questions you want to answer
  2. Understand what data each system provides
  3. Evaluate integration options
  4. Start simple—manual integration for proof of concept
  5. Automate once value is proven

Contact us about integrating waste monitoring with your existing systems.

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