Customer Spotlight 5 -Global Food Company

Company Profile

Global innovative food company with thousands of locations across 11 countries

Industry

Retail

Region

EMEA

Challenge

A global innovative food company wanted to predict the right quantity of stock to send to stores to minimize food waste.

Solution

Initial data preparation, data cleansing, and data analysis was delivered within 5 days. Based on business user feedback, the use case was changed from demand forecasting to focus on overstock food wastage. Within 2 days, Aible provided updated analysis on the adjusted use case that was accepted by the business team.

Outcome

Aible delivered a model that could potentially reduce food waste by over 10% in 27 days.

"Aible helped us figure out how to potentially improve our food waste by over 10%. Their iterative process helped us dial in our use cases, and drive towards achieving tangible business impact within 3 weeks.”

-Business Intelligence Manager

Use Case & Project Details

Use Case

Perishable goods overstock & wastage
Potential Project Results

Reduce overstock point of purchase wastage by over 10%
Time from data provision to project completion:

27 days
Elapsed time from start of model training to completion of 747 models on serverless infrastructure:

105 seconds