Deducta vs Structera Spend Analytics

Deducta turns enterprise procurement data into a shared view for analysis and decisions. Teams can upload raw ERP, P2P, invoice, or spreadsheet exports without preprocessing, or use an optional API connection for automated ingestion. Its contextual AI classifies transactions against a preferred taxonomy and explains those classifications in natural language. The platform also consolidates supplier name variations and duplicates into a traceable view. Users can ask questions and run procurement analyses in natural language, while Deducta identifies and prioritizes savings and operational improvement opportunities at transaction level. Deducta Projects track targets, owners, timelines, and progress as opportunities move toward execution. Automated refreshes can follow a team's preferred cadence; monthly refreshes are described as the minimum. The file upload API accepts Excel, Parquet, CSV, and ZIP files, with a default 50 MB limit. Deducta states that data is encrypted in transit with TLS 1.3 and at rest with AES-256, and access is logged and auditable. Pricing is on request, with no public plan prices shown.

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.