Solutions · Procurement savings
How to identify procurement savings opportunities from AP spend data
Procurement savings opportunities can be identified from an accounts-payable export in three steps: categorize the spend, measure concentration and fragmentation by category and supplier, then size each opportunity against benchmarks. ValueChaser Procurement Insights runs these steps on the AP or spend data you already have and returns savings sized by category and supplier, with the calculation basis shown.
Analysis is generated in minutes, with completed client diagnostics available within 24 hours. No source-to-pay or ERP implementation is needed.
What you need to start
- An AP or spend export in Excel, CSV or another tabular format, with one row per transaction line.
- Three signals on each line: a supplier name, an amount, and something that indicates what was bought, such as a category field, a GL code or a description.
- Dates are optional. 12 to 36 months is the recommended window.
If the data is not yet categorized, spend categorization to UNSPSC or your own taxonomy comes first. If you already have a categorized spend cube, it can be used directly.
The method
- Check that the data can support the analysis. Categorized data is validated for category coverage, spend distribution, supplier diversity and time period consistency. A data quality tier from A to D sets how deep the analysis goes, so thin data does not produce false precision.
- Measure concentration by category and supplier. Spend concentration is scored with HHI in each category. Single-source dependencies are flagged. Supplier fragmentation and tail spend are identified as consolidation targets. These metrics are computed deterministically from the source data.
- Size savings on a realism ladder. Savings are mapped category by category in three groups: immediate savings (contract compliance, maverick spend), negotiation-driven savings (volume leverage, market benchmarks) and structural savings (specification changes, make versus buy). The result is a range per category with its calculation basis, not a single headline number.
- Check pricing where the data allows it. Materials and services are separated, units are standardized and comparable transactions are clustered. Where fewer than three comparable transactions exist, the output says "Investigate" instead of giving a benchmark.
- Turn priorities into actions. Priority categories receive a deep dive covering the supplier landscape, benchmark pricing ranges and negotiation angles, plus a negotiation playbook.
What the output looks like
| Output | What it contains |
|---|---|
| Savings opportunity analysis | Savings by category, split into immediate, negotiation-driven and structural, with the calculation basis |
| Supplier intelligence and consolidation | Concentration (HHI) by category, single-source flags, top supplier share and consolidation opportunities with quantified impact |
| Material analytics and pricing | Material versus service classification, unit standardization and comparable transaction clusters |
| Category deep dives | Supplier landscape, benchmark pricing ranges and negotiation angles for priority categories |
| Negotiation playbooks | Category-specific strategies, supplier alternatives and leverage points |
| Excel data model | Pivot-ready data, savings calculations, supplier matrices and category breakdowns, fully editable |
The analysis is delivered as an HTML report, a PDF and an editable Excel model. Example reports are on the case examples page.
A quantified example
EU utilities, materials procurement (anonymized). The input was a raw AP extract of 20,000 transactions in EUR and GBP, covering €6.54B of spend and 108 suppliers.
The analysis identified 35 category-level savings levers and €392M to €654M in annualized savings, 11.1% of addressable spend, with a Procurement Health Score of 66/100. One finding: MRO spend was fragmented across more than 10 distributors representing 20% of total spend.
When this is the wrong tool
Procurement Insights is a diagnostic. It shows where the savings are and how to approach them. It does not run sourcing events, manage contracts or track realized savings over time. If you need continuous spend monitoring inside your ERP and procurement systems, a spend analytics platform is the better fit. See AI procurement diagnostics vs. traditional spend analytics platforms.
It also does not replace the practitioner. ValueChaser generates the analytical foundation and leaves classifications, taxonomy and final recommendations with your team.
Frequently asked questions
Can procurement savings be identified from raw AP data?
Yes. Each line of the AP export needs a supplier name, an amount and an indication of what was bought. The data is categorized first, then analyzed for concentration, fragmentation and price variance.
Do I need a clean spend cube first?
No. Procurement Categorization builds the categorized dataset from the raw export. If you already have a categorized spend cube, Procurement Insights uses it directly and validates the categorization quality before proceeding.
How are savings sized by category and supplier?
Category by category on a realism ladder: immediate, negotiation-driven and structural. Each estimate shows its calculation basis, and supplier consolidation opportunities are shown with their quantified impact.
How long does it take?
Analysis is generated in minutes, with completed client diagnostics available within 24 hours. Run it yourself and the report arrives in minutes. When our team runs your data for you, the completed diagnostic is delivered within 24 hours.
What does it cost?
$900 per report, or a monthly unlimited plan on an annual agreement. You only pay if your data passes the quality checks. Consulting and private equity teams can request a first analysis at no cost. Details are on the pricing page.
