AI case study

WortenInternal document search

Staff spent 3.5 mins digging through 1,000 documents. A GenAI assistant now returns cited answers in seconds, saving 11,000 hours.

Published|11 months ago

Key results

Annual Time Savings
11,000+ hours
Search Time Reduction
3.5 mins

Result highlights

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The story

Context

A consumer electronics retailer operating the largest e-commerce site in Portugal and over 240 physical stores with 4,000 employees.

Challenge

Store associates struggled to find answers within an operations manual containing over 1,000 documents, taking an average of 3.5 minutes per query....

Solution
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Quotes

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The company

Worten logo

Worten

worten.pt

Omnichannel retailer for consumer electronics, appliances, and home products.

IndustryRetail
LocationCarnaxide, Portugal
Employees5K-10K
Founded1996

The implementation partner

Role in this case study

Developed an advanced chatbot for Worten's employees using the Azure AI platform.

IndustryProfessional Services
LocationLondon, England, UK
Employees100K+
Founded1989

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

Worten's Internal document search is part of this use case:

Enterprise Search
178 case studies(+2% YoY)
Proven impact?
LowModerateVery Strong
3.6Moderate
6.3Strongwithin Retail
3.5Moderatewithin Knowledge Management

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