$ open ./projects/retail-analytics

FASHION BRAND

AI Retail Analytics Platform

End-to-end analytics with a ChatGPT-style agent, custom MCPs and KPI dashboards for store- and SKU-level decisions.

PythonLanggraphMCPMongoDBFastAPIReact

CLIENT
Leading Fashion Brand
ROLE
SDE II
YEAR
2023—2024

// problem

Decision-makers needed store- and SKU-level answers, but data was scattered across sources with no conversational way to reach it.

// approach

01Integrated multi-source data into a centralized data lake.

02Built a ChatGPT-style conversational analytics agent.

03Created custom MCPs connecting the agent to live business systems.

04Shipped KPI dashboards for store- and SKU-level views.

// impact

Store+SKU

granularity

Conversational

analytics

Custom MCP

integrations

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