For category, space planning and retail execution teams

Know the shelf works before you reset a single store.

Most resets get judged after they're in stores. InContext Studio puts the planogram, the sales prediction and the in-store check in one place, so you find out first.

Brands and retailers that work with InContext

DiageoCoca-ColaKellogg'sAlbertsonsMaple Leaf Foods

The expensive part of a planogram is getting it wrong.

The plan is stuck in desktop software

Only the space planner can open the planogram file. Everyone else reviews a PDF and sends comments by email.

You find out after the reset

Whether a new layout worked shows up in sales data months later, after the labor and the fixtures are already paid for.

Stores drift from the plan

Nobody sees it until someone walks the aisle with a clipboard, and by then the next reset is already being planned.

Results from InContext studies

What finding out first is worth

800:1
Return on one shelf test

Switching to horizontal shelf blocks showed 14% growth in a virtual test, worth $40M in growth potential, before a single store was reset.

$500K
Saved by not changing a package

Shoppers preferred the current pack to the proposed redesign. The brand found out in a test, not after a production run.

<10 days
From question to validated planogram

Arrangement AI scores layouts against more than 2 million shopping trips, so a category team gets an answer without a full in-store test cycle.

96%
correlation to real-world shopper behavior
2M+
virtual shopping trips behind the predictions
400K+
3D product models built
80+
virtual store environments

Questions teams ask first

Do we have to replace our space planning software?

No. Import .psa files from JDA, Blue Yonder and Apollo, work on them in InContext Studio, and export them back for your retailer systems.

Do we need all four pieces?

No. Most teams start with the one that hurts most. They all work from the same planograms, so the next one doesn't start from scratch.

How close are virtual results to real stores?

Virtual shopper studies show a 96% correlation to real-world shopper behavior. Arrangement AI is built on more than 2 million shopping trips from those studies.

Where does our data live?

Use the hosted version, or run it in your own cloud if your security team requires it. Your team signs in with their existing company accounts.

Bring a category you're about to reset. We'll show you what changes.

Request a Demo