CASE STUDY

Textile


 

Supercharge your Inventory Management

 

Turnkey in-store analytics and automated machine learning querying for retailers

Textile helps brands understand their stores like a science, answering important questions about inventory that help retailers become more vertically integrated and proactive.

The right inventory decisions can reduce markdowns and increase product turnover. 

Textile’s in-store sensor network and machine learning algorithms create and analyze raw data to answer simple and complex operations questions.

Now understanding supply chain questions aren’t based on arbitrary minimums or guessing. 

From basic questions like “How is the new shipment of Men’s 9” Shorts performing?” to complex questions like “What product should we markdown and what product should we increase for the next shipment?” are possible with a few simple words.

 
 
 

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