Workflow Specification

Retail Analytics Copilot

80% reduction in reporting time

The Operational Bottleneck

The client operated multiple SQL databases across regional warehouses. Executive and category managers had to wait up to 4 days for custom data reports, slowing inventory decisions.

The AI System Architecture

Altimet AI built a customized AI Data Copilot that maps semantic queries into validated SQL. We implemented a secure query sandbox with strict column access controls, enabling users to generate tables and charts directly in Slack or web dashboards.

Technical Pipeline Summary

Semantic query translation graph using fine-tuned Llama-3, structured metadata mapper, and sandboxed execution container.

Operational Impact & Gains

Average query generation and execution time reduced from 4 days to 6 seconds.

99.4% SQL validity rate across complex database queries.

Over 400 monthly hours saved for the data analyst team.

Operational Scope

Client Profile

Multinational Omnichannel Retailer

Validated Outcome

80% reduction in reporting time

Integration Stack

Snowflake Python LangChain Qdrant Flask Tailwind CSS

Have a Similar Challenge?

Schedule a scoping call to review technical feasibility and design a custom AI workflow for your team.

Discuss Similar Workflow
Get Started Today

Not sure where AI fits into your business?
Let's identify the opportunities together.

Schedule a complimentary 30-minute AI Opportunity Assessment. We will review your key operational workflows and pinpoint where AI can generate immediate, measurable returns.

30-Minute Scoping Call Zero Financial Commitment Business-First Discussion