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.
结合销量、库存、交期和季节性,设计可解释的预测与补货决策。
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.
Proposes min/max replenishment rules, writes them back to stock.warehouse.orderpoint.
承接 Legacy ERP Headless Bridge,將客戶與銷售資料轉成補貨、分群、交叉推薦與預測表單的架構 Showcase。
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.
S&OP replenishment decisions computed from inventory policy - every number in the explanation traceable to the arithmetic, nothing self-approves
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
◫ Preact inventory planner with demand analysis, safety stock, shortage forecasts, suppliers, and purchase orders.
Decision-support toolkit for replenishment, built on traditional ML models.
Warehouse management system dashboard: stock value and utilisation, ageing and ABC classes, replenishment cover, storage cost, an in-browser CBM calculator and inbound commitments. Static React and TypeScript, seeded synthetic data, 2,493 reconciliation checks. Live demo included.
Improve inventory management by adjusting ordering thresholds thanks to trusted data and insights.
Hierarchical retail demand forecasting and replenishment in Go: per-series model tournament (seasonal naive, Holt-Winters, ridge promo uplift, pluggable external models), explicit promo and cold-start handling, OLS/WLS reconciliation, P10/P50/P90 bands and explained order-up-to orders.
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.
Inventory demand forecasting and replenishment planning case study using MySQL, Power BI, and DAX.
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.
MedCare Pharma supply chain decision system for demand sensing, forecasting, inventory monitoring, and replenishment planning.
Калькулятор поставок FBO на Ozon с разбивкой по кластерам: сколько везти каждого артикула в каждый кластер + перераспределение излишков
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