Get your eCommerce Store Insights proactively in Slack : Hands-On Course

Aditya Vithaldas

Product Leader, Ex Zalando, Flipkart.

Build proactive Slack intelligence that turns business signals into action

Build an ecommerce agent that helps you stay ahead of your business

As your business grows, hundreds of signals compete for attention. You can’t anticipate every question or configure an alert for every metric.

In this five-hour hands-on workshop, build and test an ecommerce decision harness and agent designed to:

Proactively monitor store performance, including metrics and customer data you haven’t explicitly asked for.
Flag early warning signs
Lets you talk to your business data as naturally as you would with an analyst.
Track decisions, actions, and outcomes so you can improve your business over time.

Combine analytics, customer feedback, and industry intelligence to deliver proactive insights in Slack. Apply expert ecommerce frameworks to corroborate evidence, investigate contradictions, and decide what deserves attention.

Define your agent’s role, business context, tools, memory, and boundaries. Build monitoring triggers, task ownership, approvals, and follow-ups.

Short breaks included.

What you’ll learn

Leave with a tested decision harness: proactive Slack insights, corroborated evidence, automated workflows, and a feedback loop.

Connect analytics, customer feedback, and industry intelligence around one recurring ecommerce decision.
Apply expert frameworks and expose evidence, contradictions, and uncertainty in your Slack insight.

Build monitoring triggers, task routing, approval rules, alerts, and follow-ups for your chosen business process.
Test the path from insight to action and handle missing evidence, exceptions, and failed tasks.

Run an end-to-end scenario and verify the evidence, Slack insight, task creation, and action result.
Capture team corrections and outcomes to refine context, expert frameworks, and future workflow responses.

Workshop agenda

Build your Slack decision harness
Walk away with a working prototype: a Slack agent that watches your data, flags issues early, and tracks decisions.
Spot the signals worth acting on
Separate the metrics that move revenue from the noise, and turn them into the triggers your agent will watch.