Walmart Knows Where Your Pallet Is. Do You?

There is a question that has frustrated grocery and general merchandise supply chains for decades: where exactly is my product right now? Not where it was scanned yesterday, not where the system says it should be, but where it actually is, at this moment, in what condition, and moving in which direction.

Walmart has decided it is done tolerating an approximate answer.

Beginning in late 2025, the retailer started deploying millions of battery-free ambient IoT sensors from technology company Wiliot across its US supply chain. The sensors harvest energy from ambient radio waves rather than relying on batteries, attach to pallets, and transmit continuous data on location, temperature, humidity, and dwell time. The rollout will cover all 4,600 Walmart Supercenters and Neighborhood Markets plus more than 40 distribution centers by the end of 2026, with a target of 90 million pallets tracked in real time.

In Walmart’s own framing, the goal is to know exactly what it owns and where it is at any given moment. For suppliers shipping into this network, that ambition has real and specific implications.

What the Technology Actually Does

The Wiliot sensors, called Pixels, work without any manual scanning or wanding. They passively emit signals captured by readers throughout the distribution network and fed into Walmart’s AI supply chain systems, creating a continuous, automated stream of location and condition data at the pallet level.

That is meaningfully different from what existed before. Traditional supply chain tracking in retail is largely event-based: a barcode is scanned when a pallet arrives at a DC, when it moves from receiving to staging, when it enters storage. Between those scan events, visibility disappears. Product can sit idle, be moved to the wrong location, or drift outside a temperature threshold, and no one knows until the next scheduled scan or a manual check.

Ambient IoT fills those gaps continuously. Walmart has noted publicly that the deployment is already eliminating manual tasks and delivering automated alerts, with enhanced pallet-level visibility helping resolve inventory discrepancies and reduce the exception handling that consumes time at both the store and distribution center level.

Greg Cathey, Walmart’s senior vice president of transformation and innovation, described the shift plainly: “This data provides proof of delivery, improves replenishment decisions, and lets us know where our items are in real time. By combining continuous sensing with AI, we’re moving from probabilistic predictions to precision decision-making.”

Wiliot’s president Julien Bellanger has explained the foundational problem the technology solves: supply chain AI has historically run on stale data, either forecasted projections or information captured at discrete scan points. Ambient IoT replaces that with a live feed of what is actually happening, which changes how reliably AI-powered replenishment and inventory decisions can perform. Better sensing data produces better AI outputs, and better AI outputs raise the bar for what consistent supplier execution looks like inside that system.

The RFID Context Suppliers Need to Remember

Walmart has been here before, in a sense. In 2003, it told its top 100 suppliers they needed to tag all cases and pallets with RFID. The program expanded, then stalled. In its early form it never delivered the item-level visibility Walmart had anticipated. The economics of the tags at the time were too high, supplier adoption was inconsistent, and the infrastructure to process data at scale was not yet there.

The ambient IoT rollout is a different proposition on each of those dimensions. The sensors are battery-free, resolving the cost and maintenance burden that complicated early RFID at scale. The infrastructure is Walmart’s own deployment, funded and operated on Walmart’s side of the ledger rather than pushed down to suppliers as a compliance mandate. And the AI systems that will consume this data are materially more capable today than anything available twenty years ago.

In CNBC’s coverage of the announcement, Bill Ray, distinguished vice president and chief of research at Gartner, observed that the cost of the tags has come down to a level that changes the adoption math entirely, and that the business case for this kind of sensing was well understood even when RFID first failed to deliver it. That cost shift is what makes the pallet-level deployment feasible at 90 million units.

The ambient IoT rollout and Walmart’s ongoing item-level RFID mandate are also running in parallel, and together they represent a compounding investment in supply chain visibility. By 2025, the RFID mandate had expanded to cover most general merchandise categories, requiring suppliers to attach compliant Gen 2 UHF tags to individual products across apparel, home goods, electronics, toys, sporting goods, automotive, and more. That is item-level tagging at the unit. The ambient IoT deployment is pallet-level on Walmart’s own infrastructure, with Wiliot indicating that case-level tracking is the eventual goal. The two programs together are closing visibility gaps from opposite ends of the supply chain, and both are moving in the same direction.

What Changes for Suppliers

The most direct implication is transparency, and it runs in both directions. When Walmart has continuous pallet-level data, discrepancies between what a supplier ships and what Walmart receives become much harder to attribute to system uncertainty. The sensors create an automated record of when pallets arrived, where they went, how long they sat, and what conditions they experienced in transit and on the dock.

That has direct relevance to OTIF performance. Walmart’s On-Time In-Full program holds prepaid suppliers to a 90 percent on-time rate, collect-ready suppliers to 98 percent, and all suppliers to a 95 percent in-full rate, with a 3 percent cost-of-goods penalty applied to non-compliant purchase orders. Those metrics are calculated against receiving data at distribution centers. As ambient IoT fills in the visibility gaps between scan events, the data underlying compliance calculations becomes more precise and more continuous. Suppliers who have historically navigated OTIF disputes by pointing to ambiguity in the receiving record will find that ambiguity shrinking as the sensor network matures. The flip side is that suppliers with strong performance will have cleaner, more defensible evidence on their side as well. The sensors provide what Cathey described as automatic proof of delivery, capturing arrival signals without manual scanning.

Cold chain suppliers face a more specific dimension of this shift. The sensors capture temperature and humidity data in addition to location, and cold chain compliance is one of the explicit targets of the deployment. When a pallet of perishables sits on a dock too long, or passes through a zone where temperature drifts outside acceptable range, that event is recorded and timestamped automatically. Suppliers of refrigerated and frozen products should expect that condition data will increasingly inform how Walmart evaluates inbound product quality, not just delivery timing.

The second implication concerns replenishment dynamics. Walmart’s AI-driven replenishment systems use inventory data to generate purchase orders and adjust demand forecasts. As the underlying data quality improves, the signals Walmart sends to suppliers should become more accurate: fewer phantom out-of-stocks driven by data errors, better alignment between what Walmart’s systems believe is on shelf and what is actually there, purchase orders that reflect real consumption rather than inventory miscounts. For suppliers who build their own production and shipping plans around Walmart’s ordering patterns, a supply chain generating cleaner demand signals is one where accurate forecasting and reliable fill rates become more achievable, not just more expected.

The Accountability Shift Already Underway

This IoT deployment is not happening in isolation. It is one piece of a sustained technology investment Walmart has been making across its supply chain for several years.

In a late 2025 interview with Supply Chain Dive, Indira Uppuluri, Walmart’s senior vice president of supply chain technology, described the company’s operating posture: “End to end, every segment of what we do is driven by some form of intelligence.” That includes agentic AI systems making autonomous replenishment and routing decisions, computer vision in distribution centers that can identify damaged or non-compliant product at inbound, and AI forecasting tools that adjust to demand surges or supply disruptions in real time.

The ambient IoT layer feeds all of it. As sensing data becomes more complete and more continuous, Walmart’s AI tools become more precise, and the performance expectations those tools enforce on the supply chain become more specific. The bar for supplier reliability rises not because Walmart changed a number on a scorecard, but because the system now has the data to hold suppliers to the standard that was always stated.

Suppliers who read this as a distant infrastructure story are misreading the timeline. The rollout is already live across 500 locations and on track for national coverage by year-end 2026. Walmart’s ability to see what is happening with inbound freight, where product is sitting, how long it has been there, and whether conditions have been maintained is expanding every month.

Getting Ahead of the Visibility Curve

The most useful thing a supplier can do right now is close the visibility gap on their own side before Walmart’s data makes it apparent. That means having reliable, real-time or near-real-time visibility into outbound shipments: knowing when pallets left your facility, which carrier has them, whether they are on track for the must-arrive-by date, and whether any condition events have occurred in transit.

Suppliers still relying on carrier check calls and manual ASN reconciliation to manage Walmart shipments are operating with a structural disadvantage that will become more visible as Walmart’s inbound data sharpens. The gap between what Walmart can see and what the supplier can see will increasingly translate into disputes the supplier cannot support, exceptions the supplier cannot explain, and OTIF performance that does not reflect what the supplier believes it shipped.

There is also a longer-term positioning question worth working through now. Walmart has indicated that case-level tracking is the eventual goal beyond the current pallet-level deployment. As that capability matures, the visibility Walmart has into the supply chain will extend further upstream. Suppliers whose own systems can generate and transmit accurate, timely data at the case and item level will be in a significantly stronger position in that environment than those whose data quality is inconsistent.

For suppliers with RFID mandates already in effect across their categories, the operational groundwork for that future is already being laid. For those still working through item-level tagging compliance, the direction is clear enough that supply chain investment decisions made today should account for where Walmart’s visibility infrastructure will be in two or three years, not just where it is now.

Walmart’s investment in ambient IoT is, at its core, an investment in knowing. As that knowledge becomes more complete and more continuous, the suppliers who perform best in this account will be those who know as much as Walmart does about what is happening with their product before it arrives.

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