Analyze customer profitability
Merge cost and revenue data to find hidden margin drains.
Process regional sales data, summarize with AI, and prepare a presentation deck for the leadership team.
A comprehensive presentation deck with summarized regional insights and action items.
The apps run in this order. At the AI step, pick whichever of these you have — they're alternatives, not a sequence.
Copilot works differently from the others: with a paid Microsoft 365 Copilot license it's built right into the app above, no copy-pasting needed. Without a license, use it the same way as ChatGPT or Claude — in its own chat window.
Import the raw .csv and fix inconsistent region names or date formats before summarizing anything — a region logged as both "US-East" and "United States - East" will silently split into two rows in any pivot and throw off the regional comparison.
Use Power Query for the cleanup if this report recurs monthly (it saves the transformation steps for next time); a one-off PivotTable grouped by region is fine if this is a single ad hoc pull.
Hand over the pivot summary table, not the raw row-level export — a clean, pre-aggregated summary is what lets the AI reason about regional comparisons accurately instead of re-deriving totals itself from thousands of rows. If Copilot is licensed, ask it directly inside Excel so it can reference the live pivot; otherwise copy the summarized table into ChatGPT or Claude.
Prompt:
Analyze this monthly sales summary. Identify the top 3 performing regions, the 2 regions with the highest drop in performance compared to last month, and suggest 3 focus areas for the review meeting.
Use your team's standard review deck as the starting template (Slide Master already set) rather than building new slides from scratch, and fill in the five sections.
Overview, top regions, underperformers, anomalies, next steps — with the validated numbers, not the AI's draft wording verbatim; rewrite anything that reads like a summary rather than an insight.
Post the deck to the leadership channel with enough lead time for people to skim it before the meeting, and link the cleaned Excel file alongside it — anyone who wants to check a specific number should be able to trace it back without having to ask you directly during the review.
A 5-slide PowerPoint deck highlighting top regions, key anomalies, and actionable next steps.
Finding the top 3 and bottom 2 regions is a sort on a pivot table. The real contribution is step 2's "suggest 3 focus areas for the review meeting" — turning numbers into a recommended discussion agenda, which a sort can't do.
Non-AI alternative: A PivotTable sorted by month-over-month change already finds the same top/bottom regions without AI; it just won't suggest what to actually discuss about them.
Merge cost and revenue data to find hidden margin drains.
Gather public data, analyze market positioning, and build a profile deck.
One region is reporting impossible margins.
It's end of quarter and the raw numbers just came in.
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