AI case study

Grupo BafarSales reporting automation

Siloed data forced manual reviews of thousands of reports. AI agents now analyze sales volumes and SKU performance instantly.

Published|2 months ago

Key results

Daily Time Savings
~900 hours
Daily Savings Per Exec
3 hours

Result highlights

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The story

Context

A multinational food company operating across agriculture, manufacturing, retail, and finance with the second-largest market share in Mexico.

Challenge

Data was trapped in silos across business units, with retail and manufacturing running on separate ERP systems that forced employees to rely on...

Solution
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Scope & timeline

  • 300 retail employees supported by AI agent

Quotes

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The company

Grupo Bafar logo

Grupo Bafar

grupobafar.com

Food and retail conglomerate specializing in meat products and financial services.

IndustryConsumer Products
LocationChihuahua, CHH, Mexico
Employees10K-50K
Founded1983

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Servinformación logo

Servinformación

servinformacion.com
Role in this case study

Assisted Grupo Bafar with the implementation of the Cortex Framework and BigQuery data lake.

IndustryTechnology
LocationBogotá, Colombia
Employees251-1K
Founded1998

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