Normalized claim
Manual reporting analysis: 900 hours/day decrease
"The agent has eliminated roughly 900 hours of manual reporting analysis daily."
GCPEvidence: Medium50/100
Grupo Bafar saves sales executives three hours daily using Vertex AI agents and BigQuery-based data lake
Use case typeData platform modernizationUpdated Jul 7, 2026
Grupo Bafar unified previously disparate ERP, transaction, SAP, Salesforce, and other sources into a BigQuery-based data lake using the Cortex Framework. The company built Vertex AI agents to help retail employees review complex dashboards and monitor sales, profit, and SKU performance. The same data foundation also supports marketing workflows by consuming transactional information directly from the data lake and tracking campaign performance in Looker.
- Organization
- Grupo Bafar
- Industry
- Consumer & Food
- Location
- Mexico
- Published
- July 2026
Reported outcomes
900 hours/day
manual reporting analysisAutomation & deflection
3 hours/daysales reporting time per executive
Strategic outcomes
Other strategic outcomeHelped maintain second place in the Mexican food industry market shareCost efficiencyImproved reporting consistency and accuracyBetter decisions & insightSupported a shift toward a more data-driven, AI-supported operating model
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Sales reporting time per executive: 3 hours/day decrease
"Saves sales executives three hours daily on reporting"
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Grupo Bafar
- Provider
- GCP
- Maturity
- Unknown
- Linked source
- Google Cloud Customer Stories
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 1 of 1
- 1Data platform modernization
- Data was heavily siloed across legacy ERP and transaction systems.
- Retail and manufacturing ran on separate systems, making integration difficult.
- Employees relied on thousands of duplicated reports, which slowed down everyday operations and reduced reporting consistency.
- Grupo Bafar used the Cortex Framework to unify SAP, Salesforce, and other sources on a BigQuery-based data lake.
- Vertex AI agents were built for retail employees to review dashboards and monitor sales, profit, and SKU performance.
- Looker was used to track campaign performance, and Eleven Solutions supported implementation of the sales agent.
Technologies
- The company eliminated roughly 900 hours of manual reporting analysis daily.
- Sales executives save about three hours daily on reporting.
- Grupo Bafar credited the transformation for maintaining second place in Mexican food industry market share.
- Marketing leadership is moving toward a true digital marketing entity.
Architecture
Grupo Bafar built a BigQuery-based data lake and used the Cortex Framework to unify ERP and transactional sources such as SAP Retail and Salesforce. Vertex AI agents query and summarize complex dashboards for retail employees, while Looker tracks campaign performance. The solution was implemented with partner support from Eleven Solutions and Servinformación.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jul 7, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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