

From Reporting to
Real-Time Decisions
Retail moves fast, but trading meetings usually move at the speed of reporting. When insight depends on spreadsheets, dashboards, and a handful of data experts, teams spend Monday explaining last week instead of making customer‑first decisions for the week ahead.

Real Retail AI Workflows
See how leading teams use AI in weekly trading meetings.

60 Minute Session
Includes practical retail AI examples

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From Reporting to Real-Time Decisions
How leading retail teams run Monday trading meetings with AI
Retail moves fast, but trading meetings usually move at the speed of reporting. When insight depends on spreadsheets, dashboards, and a handful of data experts, teams spend Monday explaining last week instead of making customer‑first decisions for the week ahead.
In this 30‑minute session, meet Ant– 11Ants’ AI Retail Expert (“RetailGPT”). Ant turns complex retail data into plain‑English answers with the “why” behind the numbers, surfacing drivers, comparisons and next‑best actions so teams can interrogate shopper behaviour in real time and make decisions at scale.
You’ll see how retailers are shifting from “What happened?” to “What do we do next?” – reviewing pricing and promotions live in the meeting, tightening their operating rhythm, and freeing teams to focus on action rather than producing reports. We’ll also touch on what this unlocks next: more predictive operations, smarter scenario planning and faster learning cycles.
If you want Mondays to produce momentum – not just a to‑do list of follow‑ups – this webinar is for you.
What you’ll learn:
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How to turn Monday trading meetings from reporting reviews into real‑time decision sessions
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How Ant (RetailGPT) answers “why” questions and suggests next‑best actions in plain English
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Examples of using Ant live for pricing, promotions and shopper behaviour discussions
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What real‑time decisioning unlocks next: prediction, scenarios and faster learning
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