Anonymized Work

Selected intelligent transformation success cases.

Bakabia keeps client names confidential while showing the business problems, locations, solution patterns, and measurable operating impact our work supports across the U.S. and Mexico.

Use Case #1

Data Platform & Advanced Retail Analytics

Monterrey, MEX - Regional retail client with 20+ stores

A multi-sprint analytics program for sales, financial statements, gross margin, operating profitability, product decisions, inventory visibility, and future analytical evolution.

Challenge

Fragmented data and limited visibility across operations made it difficult to trust performance, analyze profitability, and act quickly.

Solution

Design and implementation of a scalable data platform using Microsoft Azure Data Factory/Fabric patterns, Retail ODS, data marts, semantic models, and Power BI executive analytics.

Impact
  • Improved operational visibility capable of near-real-time analytics.
  • Data-driven decision-making across sales, P&L, inventory, and product performance.
  • Monthly executive financial P&L reports that previously took days now run in under 5 seconds.
  • Foundation for AI-enabled demand planning and automatic replenishment.
Use Case #2

AI Automation for High-Volume Document Processing

Austin, TX - Real estate client

Intelligent document processing for high-volume, time-sensitive M&A workflows where manual review created operational bottlenecks.

Challenge

Manual processing bottlenecks in M&A with high document volume were slowing operational speed and backlog resolution.

Solution

Deployment of an AI automation platform with multi-threaded processing, AI-driven classification, ingestion, and structured lease data extraction.

40,000+documents classified in under 10 hours
1,000+lease documents extracted in under 1 hour
2 monthsof backlog eliminated with significant manual workload reduction
Use Case #3

AI-Driven Process Automation for Document-Intensive Workflows

Monterrey, MEX - 2 law firms

AI-assisted classification and extraction for high-volume, compliance-sensitive document operations.

Challenge

Highly manual, document-heavy processes created low efficiency, slower cycles, and inconsistent operational handling.

Solution

AI-based automation and intelligent document processing patterns for repetitive legal workflows.

Impact
  • Reduced manual effort.
  • Faster processing cycles.
  • Increased operational and compliance consistency.

Your path may start with BI and evolve into AI automation.

That is the point: build reliable visibility first, then scale toward more intelligent execution.

Let's Discuss Your Business Challenges