gradient-divergence/agentic-retail-foundations

Source code for the Foundations of Agentic AI for Retail Book

49
/ 100
Emerging

This project provides practical, production-ready code examples and architectures for building AI agents specifically for retail operations. It helps retail technologists and architects implement AI systems that can handle complex workflows like managing inventory risk, optimizing pricing, and automating customer communication. You'll get working models for agent coordination, evaluation, and production guardrails to build reliable AI solutions for your retail business.

Use this if you are a retail technologist or architect looking to build, evaluate, and deploy agentic AI systems for real-world retail problems, leveraging a robust framework and operating model.

Not ideal if you are looking for a simple plug-and-play solution without understanding the underlying AI architecture or retail operating models.

retail-AI inventory-management customer-engagement pricing-optimization supply-chain-automation
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

20

Forks

8

Language

Python

License

MIT

Last pushed

Jan 13, 2026

Commits (30d)

0

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