COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Grocery Retail verified Verified Outcome TRL 9

Fresh Food Forecasting (AI)

domain Client: A major UK supermarket chain handshake Provider: Blue Yonder schedule Deploy: Q1 2020 (Rollout)
87 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To tackle the twin problems of food waste and out-of-stocks, the retailer implemented an AI-based replenishment system. By analyzing 130+ variables (weather, local events, price elasticity), the system automates ordering for fresh produce, replacing manual manager intuition with probabilistic demand modeling.

rate_review Analyst Verdict

"Essential for low-margin grocery. Human managers tend to over-order to ensure shelves look full, leading to waste. AI balances the 'risk of waste' against the 'risk of lost sales' far better than a spreadsheet."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Fresh food spoils quickly. Ordering too much leads to markdowns and landfill costs. Ordering too little leads to empty shelves and angry customers. Manual ordering by department managers was inconsistent and labor-intensive.

psychology The Solution

The Blue Yonder AI engine ingests historic sales, promotion data, and external factors. It generates automated order proposals for 26,000 SKUs daily. The system learns from corrections made by staff.

settings_suggest Technical & Deployment Specs

Integrations
ERP, POS
Deployment Model
SaaS
Data Classification
Sales Data
Estimated TCO / ROI
High
POC Summary (2016-01-01 to 2017-01-01)

"Pilot in 50 stores."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Black Swan Events Medium Manual override protocols for events like pandemics or panic buying.
Data Latency Medium Real-time POS integration required.

trending_up Impact Trajectory

Audited value realization curve

30% reduction in food waste (reported) Verified Outcome
Primary KPIAutomation of millions of ordering decisions daily
Audit CycleAvailability increased by >1%

policy Compliance & Gov

  • Standards: N/A
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Sales Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
Smart Inhalers & Respiratory IoT
View Outcome →
article
Propensity-to-Pay Engagement Modeling
View Outcome →
article
AI & Satellite Data for Agri-Finance
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A major UK supermarket chain without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-830
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-830

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.