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Blue Yonder 2026.2 expands planning with forecast transparency, financial impact simulation and inventory agents

Target turns its inventory network into a digital twin

Renault outlines Supply Chain AI industrialization projects using Dataiku

o9 expands tariff scenario planning and supplier collaboration capabilities

Data Scientist — inventory optimisation and agentic AI

Lead Data Scientist - Supply Chain Network Planning Design (applied ML) | Target (R0000476520)

Senior Manager, Data Science - Network Optimization - Walmart

EVENT: Supply Chain Village Roundtable Questions Whether APS Remain Best Placed to Reduce Inventory Without Hurting Service Levels

EVENT: Algo Hosts “The Trillion-Dollar Forecast” Webinar on Forecasting as a Scenario Tool

Nicolas Vandeput on machine learning, inventory simulation and planner roles

Lessons from VN2, the first global inventory-planning competition

Outgrowing the classical safety-stock formula

From BI to S&OP and DDMRP: revisiting a 2019 Voxlog interview with Supplaï's Gilles Alais

Digital twins only matter when they change replenishment and routing decisions

Stochastic optimization is becoming the governed middle layer between AI and MRP

Mapping the First Wave of Vibe-Coded Supply Chain Applications

Martín Chávez shows how Claude can accelerate Demand Driven planning and DDMRP analysis

AI-driven resilience depends on better decisions, not faster automation alone

From Bots to Agentic Supply Chains: Why the Next Competitive Advantage Will Be Decision Augmentation, Not Full Automation

IBP change management is part of the architecture—not the rollout plan

Centrum-AI

Optilogic

Coupa Supply Chain Design & Planning

NVIDIA

Nicolas Vandeput

Gregory Pitstick