The paradox of omnichannel grocery is simple and uncomfortable: grocers have spent the last five years winning over customers, only to discover they may be quietly eroding profitability.
Buy-online-pickup-in-store (BOPIS) and ship‑from‑store are now tablestakes, yet many realize that every incremental online order feels more like a tax on stores than a growth engine. The root cause is not demand or app design. It is that these promises are being made on top of distorted store inventory data, where what the system thinks is available often diverges from what is actually on the shelf or in the backroom.
Most grocery omnichannel strategies assume inventory accuracy is “good enough,” treating it as a background operational detail rather than the primary economic constraint. In reality, store inventory is riddled with blind spots: phantom stock, on-hand but not on-shelf inventory, and backrooms that operate as black boxes.
This “data desert” inside the store is what makes BOPIS and ship‑from‑store fragile. When a picker goes to a location and finds empty space where the system promised stock, substitutions, cancels, and re‑picks stop being exceptions and become margin-draining routine.
How bad visibility bleeds omnichannel margin
The economics of BOPIS and ship‑from‑store hinge on two basics: promise accuracy and labor efficiency. Poor shelf and store visibility undermines both in predictable ways.
Inaccurate availability drives substitutions and cancelled items that shrink baskets and damage trust. Pickers are pushed into treasure hunts and re‑picks that crush units‑per‑hour (UPH), increasing labor cost per order. The answer, even though often used, is not to add safety buffers and conservative online availability. Those end up hiding sellable inventory and cap digital growth. Those incorrect shelf signals create a bad combination of out‑of‑stocks and substitutions for online orders, and excess inventory that turns into fresh waste and markdowns in the store.
The uncomfortable conclusion: without fixing inventory accuracy at the shelf and store level, omnichannel growth often becomes margin dilution at scale.
Store intelligence, not shelf snapshots
The way out of the paradox starts with reframing the problem. Omnichannel profitability has a picking problem which cannot be solved by routing alone. It is an inventory visibility problem.
Solving inventory visibility requires store wide intelligence - a unified, real‑time view across front and back of house including on‑shelf availability (OSA), backroom and top‑stock visibility, planogram, waste, and fulfillment workflows, all fed by accurate data capture. Instead of periodic audits, data is captured in the flow of work by associates using smart devices, by fixed or wireless cameras, and, where appropriate, by autonomous devices.
Crucially, OSA is not treated as a silo. When a gap is detected on the shelf, the system connects it to backroom reality and triggers guided replenishment. Data captured once for OSA can also feed price integrity and planogram compliance, multiplying the ROI of every scan or image.
It is tempting to treat in‑store fulfillment as a pure productivity play: optimize routes, tweak batching, add better handhelds, and hope UPH rises. But if the underlying OSA is wrong, the most sophisticated fulfillment solution becomes a faster way to discover you don’t have what you thought you had.
High, accurate OSA is the base layer that allows pickers to move in straight lines, hit aggressive UPH targets, and avoid re‑picks. When a store intelligence platform feeds in‑store fulfillment workflows, pickers can get smart, accurate augmented reality routed guidance and prioritized pick paths that are grounded in reality about the shelf and backroom inventory.
From cost center to growth engine
Grocers today often can be divided into two camps. In the first, omnichannel is tolerated as a cost of doing business, with unspoken limits on how far in-store fulfillment can grow before they start hurting earnings. A December 2024 report from Grocery Doppio noted that more than half of grocers either lose money, describing digital grocery as “difficult to execute, expensive and often below breakeven.” In the second, omnichannel is treated as a structural growth engine, and those retailers are changing the math by investing aggressively in inventory visibility and store intelligence. According to an IHL Group report about shelf intelligence, retailers with profit growth above 10% invest 208% more in inventory visibility solutions than profit laggards and rank inventory visibility as the No. 2 tech priority after personalization.
The difference is not a better app or a clever marketing campaign. It is the decision to make inventory accuracy a strategic priority, on par with assortment and price. When OSA climbs above the mid‑90s and is connected to backroom visibility, guided replenishment, and order fulfilment workflows, the economics shift. Studies show that a 4- to 5-point improvement in OSA can translate into multi‑million‑dollar annual profit gains across a chain, while guided fulfillment can add double‑digit UPH improvements on top.
The choice facing grocery leaders is no longer whether to “experiment” with omnichannel, as customers have already decided it’s mandatory. The real question is whether these channels remain a quiet cost center or become a compounding growth engine. Storewide intelligence is how they can resolve the paradox, by aligning what you promise online with what is truly available in every aisle and backroom.
