The Retail Execution Gap: IMF 2026

Retail has more data than ever. It has never been harder to act on it.

That is the retail execution gap. And at IMF 2026 in Chicago, senior operators from some of the world’s largest retailers spent two days being honest about why it exists, what it costs, and what closing it actually requires.

This post summarizes the key findings. The full Execution Gap Report drawn from 200 million missions across 50,000+ stores.

What Is the Retail Execution Gap?

The retail execution gap is the distance between what retail leaders decide and what actually happens on the store floor.

It is not a new problem. But it is getting worse.

Over the last decade, stores have moved aggressively into digital systems: electronic shelf labels, IoT devices, computer vision, workforce management tools, real-time POS data. The result is a 50x increase in the volume of data reaching stores and a 15x increase in tasks and alerts landing on managers’ handhelds.

Data and action are not the same thing. Roughly 10 percent of store managers can navigate this environment effectively and extract genuine value from it. The other 90 percent default to whatever feels most familiar, or whoever is asking the loudest.

This is not a failure of managers. It is a failure of the systems built to help them.

Why the Execution Gap Is Urgent Right Now

Three forces are making the retail execution gap a boardroom issue in 2026.

1. Labor costs have risen and the margin for waste is gone. In the US, productivity has effectively fallen around 18 percent over the last decade as wages have climbed. Seven states now have minimum wages above $15. In the UK, recent policy changes increased the cost of labor by around 18 percent almost overnight, wiping out years of efficiency gains in weeks. More training is not the answer. Better direction of the time that remains is.

2. Turnover has made consistency impossible to assume. Distribution center and store monthly turnover runs at 3 to 4 percent, compounding to 36 to 48 percent annually. Recruiting, training, and onboarding a single hourly associate costs $4,000 to $8,000. In this environment, execution cannot depend on institutional memory. It has to be built into the system itself.

3. Building Intelligent Management capability takes years and the window is closing. Building this capability in-house takes more than five years to reach even a basic level. The retailers who started that journey are already compounding their advantage. The window for differentiation is open, but it is closing.

What 200 Million Missions Reveal About Store Operations Performance

The Execution Gap Report draws on data from 200 million missions across 50,000+ stores and $280 billion in retail revenue. The patterns it surfaces are ones no individual retailer can see in their own data alone.

The gap between your average store and your best store is measurable and closeable.

The average store carries 45 percent more execution issues than the top quartile. That gap maps directly to outcomes every operator tracks: a 4.3 percent sales gap versus the top quartile, 40 basis points of higher shrink, 30 percent more overtime, and 20 percentage points worse standards compliance.

Four findings from the data change how operators think about store operations performance:

Context beats a single metric. Add even one operational context signal to a lagging metric and diagnostic accuracy jumps to near 100 percent. The intelligence of your operators needs to be embedded into the criteria, not left to chance.

Deviation matters more than size. A $200 deviation in a $300 popcorn category is a completely different signal from the same deviation in a $14,000 energy drinks category. Standard reports bury the most actionable opportunities by sorting on absolute dollars, not deviation from baseline.

Novelty drives completion. When stores see a variety of new mission types, completion runs above 95 percent. As missions start repeating, completion drops. Variety is measurably better for frontline retail execution outcomes.

More KPI variety does not dilute value. As mission types grow, average value per mission holds or rises. The constraint is cognitive capacity, not variety. Fewer KPIs means less focus, not more.

What Retail Operators Said at IMF 2026

In a structured session at IMF 2026, operators across grocery, convenience, apparel, and hospitality surfaced and ranked their most persistent operational problems across three themes.

Connecting the Enterprise

DC-to-store communications are manual, fragmented, and reactive. Cut times, shorts, and delivery issues surface too late to act on. Stores and district managers are the last to know. Shrink, mis-picks, and supply issues are only traced back after a customer complaint.

Managing and Leading

Onboarding is tribal, inconsistent, and rushed. New hires reach productivity around week six but leave before week four. District managers have no signal on store breakdown until it has already happened. Recognition programs exist but adoption is unmeasured and unevenly applied.

Building Accountability

Pencil-whipping is endemic. Thirty percent of walk checklist answers conflict with operational data, with no consequence. Too many priorities create decision fatigue. Everything is urgent, so nothing gets done. Safety and coaching fall off first.

The pattern across the session was striking. The challenges were not new. They were familiar, recurring, and well understood. What was missing was not awareness. It was a system that could turn a named problem into a deployed response at scale, the same way every time.

What Intelligent Management Does Differently

Intelligent Management is not a category of software. It describes what happens when data, AI, and operational workflow are integrated tightly enough that the gap between knowing and acting closes. Not for one store or one quarter, but continuously and systematically across the enterprise.

At its core, the system does three things:

•    Unifies signals from every data source into a single interface, so managers are not navigating twenty apps but one.

•    Orchestrates work, choosing the highest-value actions for each individual on a given day from the dozens of things they could attend to.

•    Connects the organization joining stores to supply chains, associates to supervisors, and teams to each other in a way that makes execution a shared, coordinated act rather than a set of parallel individual decisions.

“Intelligent Management is the missing layer between intelligent systems and intelligent teams.” Julian Mills, CEO and Founder, IMF 2026

Six Conclusions for Retail Leaders

1. The problem was never data. It was always the distance between data and action. A 50x increase in store data over a decade has not produced a 50x improvement in frontline execution. It has produced 90 percent of managers overwhelmed by systems they cannot navigate. The retail execution gap is not a visibility problem. It is a translation problem, and no dashboard has ever solved it.

2. AI earns its place through specificity, not generality. Generic AI applied to retail operations consistently underdelivers because it lacks the domain context to produce reliable outputs. The retailers seeing real returns have invested in the infrastructure underneath the AI: structured knowledge, feedback loops, guardrails, and operational integration. The technology is not the constraint. The operating system around it is.

3. Execution is now a systems problem, not a training problem. In an environment with 40 percent-plus annual turnover, training interventions reset with every new cohort. The organizations pulling ahead have encoded execution standards into their operating systems, so good practice is the default output of the system not the product of individual effort and memory.

4. The ROI of execution improvement is distributed, not concentrated at the bottom. Every store has high-impact opportunities. A model that targets only the bottom quartile leaves the majority of the value on the table and creates a two-tier operating model that is difficult to sustain.

5. The window for differentiation is open. It will not stay that way. The retailers who invested in Intelligent Management over the last five years have built an operational advantage that compounds and is hard to replicate quickly. The feedback loops, the domain context, the trained system: none of that is available off the shelf.

6. The industry knows where it breaks down. The question is whether it will systematize the fix. Three focus areas. Nine deployable missions. Every problem already named, in the room, by the operators living it. The gap between knowing that and acting on it is exactly what this report is about.