BIX Tech

Case studyAI & Machine LearningRetail

LLM Cost Reduction and Observability for Grupo Soma

How BIX Tech brought observability to the MCP layer of Grupo Soma's AI products and optimized LLM usage, reducing token consumption and LLM costs by more than 70%.

lower token consumption and LLM costs in IAzzas
of MCP servers with observability

The Challenge

Grupo Soma, one of Brazil's largest fashion and lifestyle groups, runs AI products on top of LLM APIs. The team needed:

  • Observability on the MCP (Model Context Protocol) layer of its products
  • Lower token consumption on LLM APIs
  • Better governance over AI usage
  • A senior AI reference throughout the engagement
“Decreased token consumption and cost of LLMs in IAzzas in more than 70%, brought governance and reliability to our systems, Implemented observability in 100% of our MCP servers helping us to watch the conversational accuracy of the Model and the MCPs.”
AI Specialist, Grupo SomaVerified review on Clutch

The Solution

Observability and smarter model routing

  • Integrated LangFuse into the client's MCP Server
  • Optimized and routed LLM models in IAzzas and in other products that use AI API keys
  • Focused the work on cost, observability, and governance

Results

LLM costs

Before: Token consumption and LLM costs without optimization

After: More than 70% lower token consumption and LLM costs in IAzzas

Observability

Before: No visibility into the MCP layer

After: 100% of MCP servers observable, making it possible to track the model's conversational accuracy

  • More governance and reliability across AI systems
  • Deliveries always on the agreed dates, with fast responses from the consultant

Client review on Clutch

How the client rated the project

Quality
Schedule
Cost
Willing to refer

4.5 overallReviewed Sep 2026 · online reviewRead the verified review

More work with Grupo Soma

2 projects delivered for the same client, each with its own review on Clutch.

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