AI case study

Impulse LogicInventory optimization

Lost sales drained revenue. Now, ML models predict demand and push precise stocking tasks to mobile devices.

Published|1 year ago

Key results

Labor Cost Reduction
40%

Result highlights

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The story

Context

A software provider for the retail and grocery sectors addresses the gap between demand and supply that causes hundreds of millions of dollars in lost sales annually.

Challenge

On-premises implementations took up to six months to complete, while radical sales peaks required expensive data center capacity that threatened the...

Solution
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Scope & timeline

  • Implementation time cut from 6 months to 75 days

Quotes

The company

Impulse Logic logo

Impulse Logic

impulselogic.com

AI-powered retail replenishment platform optimizing on-shelf availability.

IndustryRetail
LocationAtlanta, GA, USA
Employees11-50
Founded2020

The AI provider

Enterprise database software and cloud infrastructure services.

IndustrySoftware & Platforms
LocationAustin, TX, USA
Employees100K+
Founded1977

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