📦 Product/Commerce 🎯 Decision & Strategy

Analysis & Insights

Data everywhere but nobody has time to make sense of it. Decisions made on gut feel because pulling insights takes hours.

In Product/Commerce

Who uses it

Ops and merchandising teams

Typical documents & data

Sales data, inventory levels, customer behaviour, marketing performance

Implementation Tiers

🏃

Quick Win

Immediate

Export your data and ask AI to analyse it. Get answers to plain-English questions in minutes. Spot patterns and anomalies without building reports.

Tools: AI assistant with data analysis (e.g. ChatGPT or Claude)

Expected Result: Answers in minutes instead of hours or days. Data actually gets used.

🔧

Proper Project

6-10 weeks

Connect your systems to dashboards with AI built in. Reports update automatically. AI summarises what changed; what's unusual; what needs attention.

Tools: BI platform (e.g. Power BI or Metabase) + AI summarisation

Expected Result: Decisions based on actual data. Problems spotted early. Month-end reporting from days to hours.

🎯

Strategic Build

4-6 months

AI predicts what's coming — flags trends; identifies risks before they hit; recommends actions based on patterns. Moves you from reactive to proactive.

Tools: Custom analytics platform with predictive models

Expected Result: Data becomes a strategic advantage. Problems caught when they're cheap to fix.

Problems This Solves

🎯

Flying blind

Make decisions with data instead of gut feel

You know the data exists but pulling insights takes too long. So decisions get made on instinct and experience - when the answers are sitting in your systems.

🐌

Can't keep up

Get answers as fast as questions arise

By the time you've pulled the numbers; the moment has passed. You need real-time insight but your reporting runs days or weeks behind reality.

Ready to implement?

Take our diagnostic to see how this fits with your other priorities, or book a call to discuss implementation.

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