Spend Analytics.
Continuous, categorized, actionable.
Most enterprises know what they spent only after quarterly close. Leah categorizes every line of spend across ERP, P-card, AP, and contracts in real time, surfaces consolidation and off-contract leakage, and projects savings against a spend cube that is always current.
Spend visibility arrives a quarter late. By then the savings are gone.
Spend categorization quarterly at best
Most procurement teams know what they spent only after quarterly close. Categories are stale, taxonomy drifts, and by the time the spend cube is rebuilt, the quarter is already gone. Decisions get made on data that is months behind reality.
Consolidation opportunities missed
Identical materials and services bought from a dozen vendors at a dozen prices. Sister business units negotiate independently against the same supplier. The savings from consolidation are obvious in retrospect and invisible in the moment.
Off-contract spend invisible
Spend leaks to suppliers nobody negotiated with, on terms nobody approved, charged to the wrong category. By the time analysts notice, the volume has already been routed away from preferred suppliers and the discount is already lost.
Vendor proliferation uncontrolled
Tail spend keeps growing. New supplier records get created instead of consolidated. Onboarding cost compounds. Risk surface expands. The long tail of vendors that account for 5% of spend ends up consuming most of the procurement team's time.
Savings projections built on outdated data
Annual procurement plans are written against last fiscal year's spend cube. Targets are set, sourcing waves are scheduled, and by mid-year the assumptions no longer hold. The plan and the reality drift apart with no continuous correction.
CFO and CPO see different numbers
Finance reports spend by GL account. Procurement reports it by category. Both pull from the same ERP and arrive at different totals. The conversation about savings starts with a debate about which number is right rather than what to do about it.
Every line of spend, classified the moment it lands
Leah ingests spend from ERP, P-card systems, AP, expense platforms, and contract data, then categorizes every line against a unified taxonomy in near real time. Categorization is auditable, consistent across business units, and updated continuously rather than at quarter end.
“For the first time, the CFO and the CPO open the same dashboard and see the same number. The conversation finally moved from reconciliation to action.”
VP Procurement Excellence, Industrial Manufacturer
Five steps to a spend cube that is always current
Leah integrates with the systems you already run. No rip and replace. Value from the first transaction batch.
Connect
Leah integrates with your ERP, P-card platform, AP system, expense tools, and CLM. Spend data, vendor records, and contracts all flow into one intelligence layer without replacing any system you already run.
Categorize Spend
Every transaction is classified at the line level against a unified taxonomy. ERP, P-card, AP, and expense data all map to the same categories. Coverage is continuous, not quarterly.
Surface Consolidation
Leah analyzes the supplier base for duplicate vendors, fragmented categories, and cross-BU leverage. Consolidation opportunities are ranked by projected savings and routed to the right category owner.
Detect Off-Contract
Every transaction is matched against the active contract portfolio. Off-contract suppliers, unauthorized rates, and bypass patterns are flagged with quantified leakage attached.
Project Savings
Sourcing waves and cost-out targets are forecasted from live spend. Realized savings are tracked against projections continuously, with line-level traceability for finance, procurement, and the board.
Got Questions? Get Answers.
Most ERP and suite-native spend modules categorize at the vendor level, refresh on a periodic batch, and rely on a taxonomy that has to be manually maintained. Leah categorizes at the line level, refreshes continuously, ingests from ERP and P-card and AP and expense and contracts together, and reconciles them into one taxonomy. The result is real-time visibility instead of quarterly hindsight.
No. Leah works against the data you have. Vendor master records that are inconsistent across business units, GL postings that drift from category mappings, and P-card transactions with thin descriptions are all handled in stride. The categorization model improves the data itself as it runs, and the cleaned classifications can be written back into your systems of record.
Leah maintains a structured view of the active contract portfolio, including the suppliers, categories, rates, and validity windows of each agreement. When a transaction lands, it is matched against the contracts that should govern it. Spend that goes to a non-contracted vendor, that uses a non-contracted rate, or that bypasses preferred routing under a category contract is flagged with the quantified leakage attached.
Yes. Each business unit can keep its existing reporting taxonomy, and Leah maintains a parent enterprise taxonomy that maps across them. Reports can be pulled at either level. This solves the common problem where the CPO needs an enterprise view and each business unit needs to keep reporting in the categories its operations team is used to.
Most customers see continuous categorization complete within the first 30 days. Consolidation opportunities and off-contract detection surface inside the same window. Savings projections built on the live spend cube are typically board-ready within the first quarter of deployment, with realized savings tracking starting at the next sourcing wave.
Yes. Leah is deployed by manufacturers, healthcare companies, and engineering firms with strict data isolation requirements. Customer spend and contract content does not train Leah's underlying models. Data is encrypted in transit and at rest. SOC 2 Type II, GDPR, CCPA, HIPAA-ready, and ISO 27001 aligned. Private instance deployment is available where data residency or isolation requires it.
