AI Workspace

A spreadsheet for retail. With agents inside.

Category managers and pricing analysts spend their day in spreadsheets. The Retailgrid AI Workspace is the spreadsheet they already know — but with live competitor prices in every cell and AI agents that read, propose, and apply changes in the same view.

Retailgrid AI Workspace showing a grocery pricing grid with live competitor prices from Noon and Carrefour, price ranges, and Competitor CPI scores
Why teams move here from Excel

The grid that knows it's looking at retail.

Ask the data a question. The agent answers in the same view.

The AI sidebar reads the grid you have open — filters, columns, selection. Ask "which SKUs lost margin since the last competitor price change?" and it answers against exactly what you're looking at. No prompt engineering, no separate dashboard.
  • Natural-language Q&A against the live grid
  • Answers cite the SKUs they're talking about — click through to inspect
  • Follow-up questions remember the previous turn's context
AI Assistant · Pricing Grid
Which SKUs are leaking margin this week?
8 SKUs dropped below 18% margin this week — all in Jackets.
WHT-J04-L−€4.20
BLK-J02-M−€3.85
+6 more
→ Show fix proposal

Add the column your team actually needs.

Most pricing tools have a fixed schema. Retailgrid lets you add custom columns — toggles, numbers, dates, dropdowns — in seconds, color-code them by theme, and reference them anywhere a column reference works. Your data model bends to your workflow, not the other way around.
  • Eight column types: text, number, currency, percentage, toggle, date, single select, and more
  • Add a column once, reference it in formulas and rules across the catalog
  • Color-code columns for fast visual scanning by category managers
Retailgrid Configure Column dialog showing column name 'Approve?' as a Toggle type, with column type and color picker options

Live competitor prices in every cell.

The grid doesn't need a refresh button. Competitor prices, marketplace data, your own sales and inventory — all wired in live, all queryable as columns next to your SKUs.
  • Competitor price columns update every 4 hours, auto-mapped to your SKUs
  • Sales, inventory, and cost data sync from your store or ERP
  • Reference any column in any formula — same syntax as your own data
Retailgrid metrics library showing Sales Units, Sales Value, Gross Profit, Gross Margin %, Unit Margin, and Unit Margin % with timeframe selectors (Yesterday, Last 7 Days, Last 30/90/180 Days)
A day in the workspace

What your category manager does on Monday morning.

From the moment they open the grid to the moment prices are live. No spreadsheet attached.

01

Open the grid

Their category opens to the SKUs they own, with live competitor prices already in the right columns. Yesterday's filters and pivots are still there.

02

Ask the AI

Type a question in the sidebar: "Which jackets dropped below 18% margin since last week?" The agent answers against the live grid, with SKUs cited.

03

Approve and apply

Review the proposed price moves. Approve in bulk or by exception. Prices write back to your store within minutes. Every change is logged.

Built for the work, not the demo

The grid your category manager already wanted.

Retailgrid is designed by people who have run pricing teams. Every column, every formula, every keyboard shortcut is there because somebody in the role asked for it.

100k+ SKUs
Without the freeze, lag, or formula errors of an Excel file
0 SQL
Filters and formulas are spreadsheet syntax — no new query language
1 source of truth
Sales, costs, competitor prices, inventory — same grid, same SKU keys

See the workspace your team would use on day one.

A 20-minute walkthrough of the AI Workspace on a real retail dataset. No signup. No sales script.