EZ Procurement Spend Analysis vs Structera Spend Analytics

EZ Procurement Spend Analysis consolidates purchasing data to help procurement teams examine spending and identify possible savings. Its AI classifies transactions into a consistent category structure and updates classifications as suppliers and line items change. Supplier normalization links parent and child suppliers to show consolidated spend across divisions. Users can analyze by category, supplier, business unit, or time period, while the software flags fragmented spend, off-contract buying, and potential supplier consolidation ranked by savings potential. Teams can import data from ERP, accounts payable, and card systems without replacing those systems; listed inputs also include ERP exports, spreadsheets, CSV files, invoices, and invoice-level details. The vendor reports that 90%+ of transactions are auto-classified. Its described workflow connects and cleans data, surfaces opportunities, then routes them into sourcing events for tracking. Recommendations can be traced to underlying spend data, and the vendor describes security, access controls, and auditability as built in. The product is web-based. Pricing is on request; the product page directs prospective customers to book a demo or contact sales.

Structera Spend Analytics classifies procurement transaction exports into a three-level spend taxonomy and classified dataset. Its taxonomy is based on UNSPSC and cross-referenced to SIC, NAICS, and NACE. An AI engine assigns classifications, and users can review and correct results marked with low confidence. Those corrections are stored by supplier and applied automatically if that supplier appears in a future run.

Users can inspect a free sample, validate the taxonomy, and apply it to a full dataset for a one-off payment. Paid exports include an Excel workbook and an insight pack covering category analysis, supplier actions, tail-spend analysis, and a quick-wins playbook. Excel output can feed BI tools such as Power BI, Tableau, and Looker, but dashboards are not included. The free sample covers about 100 representative rows and is limited to one per data type per account. Full dataset classification costs £25 minimum, followed by tiered per-row charges; applicable taxes are excluded. Uploads accept CSV, XLSX, or XLS files up to 25 MB. The maker identifies SMEs, finance teams, consultants, and consultancies conducting one-off spend reviews as intended users.