Retail AI benchmark for choosing the economically right LLM by workflow
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Updated
Jun 13, 2026 - Python
Retail AI benchmark for choosing the economically right LLM by workflow
Open-source FBO replenishment planning toolkit for marketplace sellers.
Proposes min/max replenishment rules, writes them back to stock.warehouse.orderpoint.
Plans the day's transfers on a six-tier priority ladder under transfer capacity, and reads inbound ETAs so it does not move stock that is about to arrive.
S&OP replenishment decisions computed from inventory policy - every number in the explanation traceable to the arithmetic, nothing self-approves
Caso simulado de supply chain en Valencia: análisis y previsión de demanda, planificación de inventario y reposición bajo incertidumbre. Proyecto desarrollado en Python para apoyar decisiones logísticas y evaluar distintos escenarios operativos.
跨境电商海外仓智能补货与实时仿真原型:预测、补货、分仓、策略对打与数字孪生沙盘。
Supply and Inventory management software application
Decision-support toolkit for replenishment, built on traditional ML models.
Lubricant distributors tie up months of cash in stock: DDMRP buffers vs min-max over 800 SKUs, judged at matched fill rate
LLM-in-the-loop shelf replenishment POC: deterministic rules handle ~90% of restock decisions, a local LLM reasons over the ambiguous rest. Kafka, Postgres, FastAPI, Streamlit, Docker.
Local-first, human-approves-everything grocery replenishment as a ResonantOS add-on: runway analysis, fail-closed dietary checks, and a next-cart draft that structurally cannot check out. No accounts, no cloud, no telemetry — nothing leaves your machine.
Калькулятор поставок FBO на Ozon с разбивкой по кластерам: сколько везти каждого артикула в каждый кластер + перераспределение излишков
MedCare Pharma supply chain decision system for demand sensing, forecasting, inventory monitoring, and replenishment planning.
Code and frozen evidence for retail forecast-replenishment evaluation under information and policy uncertainty.
AI agent for orchestrating automated retail stock replenishment, built with Agentic Star.
Retail demand forecasting and replenishment planner queue analytics case
Datathon-winning demand forecasting and inventory optimization pipeline that simulates replenishment policies to improve service levels and reduce inventory capital across products and stores.
Local-first grocery and household replenishment engine: inventory runway, depletion tracking, preference-aware restock planning, sourcing research, and dashboard generation.
Autonomous WhatsApp grocery replenishment assistant for Swiggy Instamart with Gemini 3.5 Flash-Lite, multi-turn cart memory, and gated checkout.
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