Spend analysis
Turn a raw invoice export into a category view with quantified savings opportunities.
— Procurement & Vendors
Category spend & savings
Rolls an invoice or contract export up by spend category, charts it, and quantifies savings opportunities with the suggested lever per category.
- Procurement & Vendors
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For a full population, not a sample
No coding required
- Input
- An invoice or contract export
- Output
- Spend rolled up and charted by category
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Category spend & savings for
Savings target planning
Identify where a savings target can realistically be met and with which lever.
Supplier consolidation cases
Find fragmented categories where consolidation is the obvious move.
What it works from
- An invoice or contract export
- Your category taxonomy
- Any benchmark or target figures
What you get back
- Spend rolled up and charted by category
- Quantified savings opportunities per category
- The suggested lever behind each opportunity
— HOW IT BEHAVES
How Category spend & savings produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Row-level table processing
Every row of your table is processed on the same basis, however long the table is.
Charted, not just stated
The pattern is visualised from the computed data, so the trend is legible at a glance.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
Roll-up alongside detail
Detail rows are summarised into the grouped view without losing the underlying lines.
Why this is expensive by hand
Load an invoice or contract export. Spend analysis is the typical trigger — turn a raw invoice export into a category view with quantified savings opportunities. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is spend rolled up and charted by category, with quantified savings opportunities per category. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. In effect, 1–2 weeks of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- Independent consultants codifying their own methodology
- Strategy and transformation teams standardising delivery
- Internal advisory functions under pressure to produce faster
- Operators who need defensible output, not a one-off chat answer
Run it in Skillsize — or export it anywhere
Category spend & savings exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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