How SPAR ICS Achieved 90% Inventory Prediction Accuracy and Reduced Food Waste with AI

By: GoBeyond Team
July 27, 2025
3 min read
AI case study for SPAR ICS – 90% inventory prediction accuracy and food waste reduction

Quick Overview

SPAR ICS partnered with Microsoft to develop AI-enabled demand forecasting and supply chain optimization tools, improving inventory accuracy, reducing unsold goods, and accelerating delivery times to stores.

SPAR ICS
SPAR ICS
Company Size
50-999 employees
Revenue Range
Part of SPAR Austria Group, €8.3B+ annual revenue (SPAR Austria)
Primary Challenge
Inefficient inventory forecasting leading to food waste and delayed deliveries
Key Metrics

- 90%+ inventory prediction accuracy
- Reduced unsold goods to 1%
- Delivered fruit and vegetables to stores 3 days earlier
- Handled 8 million daily app requests with peak 400 requests/sec

The Problem

Legacy forecasting systems and manual ordering processes resulted in overstocking, food waste, and slower delivery cycles across 1,500+ stores.

The Solution

Created an AI-enabled demand forecasting system using Azure Synapse Analytics and Microsoft Fabric, integrating weather, marketing, seasonality, and sales data; developed a scalable, secure SPAR app for customers; automated supply chain and ordering processes.

Results

- Inventory prediction accuracy improved to over 90%
- Unsold groceries reduced to 1%
- Faster delivery times, especially for perishables
- Enhanced shopping experience via a customer-facing app
- Scalable system handling millions of daily requests with high reliability

“With our new advanced data and analytics capabilities, we are able to accelerate time to market, proactively anticipate market demands and really drive innovation.”

Andreas Kranabitl, Managing Director, SPAR ICS

Details

Industry
Retail & E-commerce
Departments
Product Development & Innovation
Use Cases
Predictive Modeling
Tags
Predictive Modeling
NLP
Client Satisfaction
AI Tools Used
Microsoft AI
Sources
https://www.microsoft.com/en/customers/story/1724583469377234521-spar-ics-retailer-cloud-for-retailhttps://www.vktr.com/ai-disruption/5-ai-case-studies-in-retail/https://spar-international.com/news/spar-austria-minimises-food-waste-through-digitalisation/

More Case Studies

See All
How Shell Oil Company Uses AI for Predictive Maintenance Scheduling to Reduce Downtime
Manufacturing
How DNB Uses AI Chatbot Aino to Automate Customer Service and Manage High Query Volumes
Finance & Banking
How JPMorgan Chase Leverages AI Across Banking Operations to Boost Sales, Manage Risks, and Enhance Client Experiences
Finance & Banking
How Cvent Enhances Conference Networking and Planning with AI Matchmaking and Virtual Assistance
Hospitality & Tourism
How Nike and AKQA Used AI and Machine Learning to Simulate a Virtual Tennis Match Between Serena Williams’ Past and Present Selves
Retail & E-commerce
How easyA Built AI-Powered Dashboards to Unify Finance and Fitness Data for Real-Time Insights
Finance & Banking

🤖 Chat with AI

Type...