AI case study

Martin BrowerSupply chain forecasting

Fragmented data caused excess inventory and manual workloads. Now, AI automates forecasts so planners can dynamically adjust stock.

Published|5 months ago

Key results

Cost Reduction
up to 20%
Processing Time Cut
30%
Forecast Accuracy
>95%

Result highlights

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The story

Context

A global supply chain provider manages distribution and seven distinct recycling streams for restaurant customers across North America, Europe, the Middle East, and Oceania.

Challenge

Fragmented data made it difficult to align supply with real-time demand fluctuations, resulting in excess inventory and high manual workloads for...

Solution
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The company

Martin Brower logo

Martin Brower

martinbrower.com

Supply chain and multi-temperature logistics for global restaurant brands.

IndustryTransportation & Logistics
LocationRosemont, IL, USA
Employees10K-50K
Founded1934

The vendor

Blue Yonder logo

Blue Yonder

blueyonder.com

AI-driven supply chain planning, execution, and commerce solutions.

IndustrySoftware & Platforms
LocationScottsdale, AZ, USA
Employees5K-10K
Founded1985

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