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Auditable Plate Waste Data for ESG Reports — Measured, Not Estimated

Your sustainability commitments require hard numbers, but the largest category of dining waste — what happens on the plate — is usually invisible. CPIsight replaces annual tray-study estimates with continuous, item-level data your auditors can actually verify.

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Returned lunch trays lined up for weighing at a school dish return, leftovers still on them
Seneca Valley School District, Pennsylvania — March 2026
The Problem

The reporting gaps holding you back

You need reliable waste data to meet sustainability commitments, but the biggest source of dining waste is invisible.

STARS/AASHE/CSR data gaps

Sustainability frameworks require food waste metrics, but post-consumer plate waste — the largest category — is rarely measured with any rigor.

Snapshots, not trends

Manual waste audits give you a week of data per year. You need continuous tracking to prove real impact and demonstrate improvement.

Surface-level plate waste data

Most solutions offer basic plate waste numbers without the deep analytics behind them. Without granular insights, your reports tell an incomplete story.

How It Works

How CPIsight supports sustainability goals

Automated tracking that produces the continuous, auditable data your reporting frameworks demand.

01

Install

Camera system mounts at dish return with zero disruption. Starts collecting data immediately with no baseline period required.

02

Track

Continuous monitoring logs waste by food type and weight. Data flows automatically to your dashboard.

03

Report

Export-ready data for STARS, AASHE, and CSR reports. Show trends over time, not just point-in-time snapshots.

Results

Data that proves your impact

Credible sustainability reporting starts with credible data. CPIsight provides the metrics your frameworks require.

66%
Of food waste is post-kitchen
Of dining-facility food waste (Costello et al., 2015).
100%
Post-consumer coverage
Continuous, not annual
24/7
Data collection
Every meal, every day

Sources: 66% — Costello et al., 2015. Remaining figures describe CPIsight capabilities.

“

Our Seneca Valley Phase 1 pilot ran across 7 service sessions in 18 days with 99.9% uptime and zero disruption to cafeteria operations. That is what continuous, auditable plate waste data actually looks like.

No student PII captured — cameras photograph food trays only. The same architecture supports STARS, AASHE, and CSR export formats.

Source: Seneca Valley Phase 1 pilot — Jan 20 to Feb 6, 2026

Ready to replace estimated tray-study data with real numbers?

2030 commitments require progress you can prove. Start with a pilot and build the continuous data foundation your reporting frameworks actually demand.

Prefer email? solutions@cleanplateinnovations.com