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AI-Driven Insights to Drive Results

Suplari Insights Overview

Suplari works 24×7 to continuously monitor millions of supplier transactions and touch points to discover the highest value opportunities for spend reduction and risk mitigation.

  • Demand aggregation
  • Supplier fragmentation
  • Anomalous patterns
  • Suspicious and fraudulent spend
  • High-growth suppliers
  • Maverick spend
  • Intelligence into new preferred suppliers
  • Subscription purchases through T&E

Stay One Step Ahead

The best procurement teams stay one step ahead and avoid unwelcome surprises that can compromise cash flow or expose the organization to undue risk. Capture opportunities early, avoid expensive surprises, and mitigate risk proactively with Suplari.

Growing Library of Machine Learning Insights

Suplari analyzes millions of transaction and supplier touch points in real time to discover patterns, inconsistencies, anomalous activities, suspicious spend, and strategic opportunities. Insights include opportunities around:

  • Aggregating demand
  • Consolidating suppliers
  • Best pricing comparisons
  • Reducing maverick spend
  • Identify preferred suppliers
  • Fraud and abuse

Suspicious Spend

This insight detects transaction sets that consist of the same supplier, same transaction (or posted) date, and same amount. Used to detect duplicate transactions which may represent errors in supplier invoicing, payables, or potential fraud.

High-Growth Suppliers

This insight detects suppliers whose spending growth is the most significant over the trailing 12 months from the latest transactions. Suppliers less than 100% growth over the last 12 months are not considered. 


This insight detects recurring monthly, quarterly, or annual spending by employees on P-cards or expensed with suppliers. These items are likely to represent recurring subscriptions to the supplier services or SaaS software.

Outlier Transactions

This insight detects transactions which fall outside the statistical range when compared with the mean of transaction amounts for a given supplier. While these may be legitimate spend, large transaction outliers should be investigated.

Demand Aggregation

This insight detects recurring monthly, quarterly, or annual spending by more than one business unit on AP. These items may represent situations where you have more than one contract. You can renegotiate these contracts to aggregate demand and get the best price.

Fragmented Categories

This insight identifies sub-categories where the top 10 suppliers represent less than 70% of spend. In these cases, there is a high potential for cost reductions by consolidating suppliers in that sub-category.

Unmapped Transactions and Suppliers

This insight identifies the transactions which are not mapped to a known suppliers. Companies can configure a trigger when spend falls below a defined percentage of the total spend to ensure sufficient accuracy in spend visibility.

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