AI Turns Planning Digital-First

Inside the AI Transformation of Parts, People & Processes

Hi, I'm Lily. I live in the world of distribution, where software is becoming the true differentiator in warehouse robotics, not hardware. Global leaders like PepsiCo and DHL are prioritizing AI-driven simulations and data standardization to identify operational flaws before investing in physical infrastructure. While warehouse robotics and agentic commerce are becoming more prevalent, experts emphasize that success depends on deterministic automation and rigorous feasibility studies.

If you only read one thing this week, it is this:

PepsiCo partnered with Siemens and NVIDIA to simulate warehouse and plant operations using warehouse digital twins and AI agents as co-designers. The system recreates every machine, conveyor, and pallet route, identifying up to 90% of potential issues before any physical build. U.S. pilots are underway; global rollout is planned.

What’s Working in the Field

Oracle Launches AI-Driven Supplier Collaboration Platform

Oracle unveiled its Retail Supply Chain Collaboration platform at NRF 2026, embedding AI into supplier coordination and compliance workflows. The cloud solution delivers real-time alerts on supply chain disruptions and automates SKU-level data synchronization with Oracle's merchandising system. Retailers can now score, evaluate, and monitor suppliers through a unified portal, with contextual workflows for approvals and audits. A planned AI digital assistant will allow users to query supplier information using natural language. The move signals Oracle's push to make supply chain visibility and vendor coordination less reactive and more predictive.

PepsiCo Uses AI and Digital Twins to Design Warehouses Before Building Them

PepsiCo partnered with Siemens and NVIDIA to deploy digital twins and AI agents across its warehouse and plant operations, a first for a global CPG company at this scale. Using Siemens Digital Twin Composer built on NVIDIA Omniverse, PepsiCo can now simulate every machine, conveyor, pallet route, and operator path with physics-level accuracy before any physical build. The result: AI agents identify up to 90% of potential issues before modifications occur. CEO Ramon Laguarta framed the initiative as central to becoming a “future-fit company,” with U.S. pilots already underway and global rollout planned. For distributors and supply chain operators, PepsiCo’s move signals a broader shift: from reactive facility upgrades to digital-first planning where AI co-designs the warehouse before a single pallet moves.

Agentic Commerce Goes Mainstream With Walmart-Google Deal

Walmart and Google announced plans to embed Walmart products directly into Google's Gemini AI assistant, allowing customers to discover, personalize, and purchase items through natural conversations with AI agents. The integration surfaces relevant products contextually, syncs with linked accounts for personalized recommendations, and supports delivery as fast as 30 minutes. Incoming Walmart CEO John Furner framed the move as "the next great evolution in retail." For distributors, the implications are that the channel where customers find products is shifting from search bars to AI agents.

Why Software-Defined Robotics Is Winning the Warehouse

Exotec CRO Arthur Bellamy argues that 2026 is the year software becomes the true differentiator in warehouse robotics, not hardware. With 10,000+ robots deployed globally and $1B+ in revenue, Exotec sees the industry shifting from fixed automation to software-enabled fleets that reconfigure in real time. Bellamy is blunt about AI, however: while AI excels at forecasting and route planning, the ROI for AI-driven physical autonomy remains unclear. For most warehouse applications, deterministic automation that performs consistently still wins.

DHL Deploys Agentic AI Across Global Logistics

DHL Supply Chain revealed at CES 2026 how it has successfully built one of the most advanced AI-powered logistics networks in the world: 7,500+ autonomous robots, 90%+ warehouse automation coverage, and machine-learning systems predicting inventory discrepancies, labor risk, and delivery bottlenecks across 220 countries. VP of IT Jason Pawlowski emphasized that DHL spent years on data standardization before deploying AI: "You can't get to trustworthy AI without trustworthy data." Agentic AI is now handling appointment scheduling, while robots unload trailers at 700 boxes per hour. The next step? Cross-platform orchestration, where autonomous systems coordinate across vendors. For distributors, DHL's playbook is instructive: build the data foundation first and deploy AI on low-risk, high-volume tasks.

What’s In My Ears

Why automation feasibility should guide supply chain decisions with Jeff Bornino and Nick De Klerk

In this episode of Talking Supply Chain, TMX Transform's president of North America Jeff Bornino and senior director Nick De Klerk warn that rushing into large capital investments without understanding operational needs creates "the modern million-dollar paperweight." Feasibility studies must account for regional differences in labor markets, real estate, and facility conditions, as no single solution fits every site. Both emphasize the growing role of digital twins and AI-driven simulation in testing scenarios before equipment is installed, shifting automation from a leap of faith to a data-backed strategic move.

Lily’s Quick Take

The theme running through this week is restraint. PepsiCo isn't building warehouses and hoping AI fixes what breaks; they're simulating every pallet route before ground is broken. DHL didn't deploy 7,500 robots overnight; they spent years cleaning data first. And TMX Transform warns that skipping feasibility studies creates "the modern million-dollar paperweight."

The real shift isn't AI everywhere. It's AI where it's earned the right to be.

Until next week—keep your systems learning! — Lily @ InstaLILY AI

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