Data Cleaning
We remove duplicate entries and irrelevant data, ensuring only clean, actionable data flows into your procurement strategy.
Unclean data is Procurement’s #1 blind spot. Many companies have data that is fragmented/duplicated across multiple locations, ERP systems, languages, and currencies. The consequences of this can include missed volume discounts, Tail spend, and maverick buying, as well as Reactive sourcing instead of strategic sourcing.
Clean and categorize your spend data, building a reliable foundation for strategic decisions. We can deliver:
100% item coverage
90% category accuracy within ten days of data receipt
95%+ category accuracy within four weeks
This makes Procurement inefficient, focused on trying to make sense of tangled data, and misses out on many opportunities. We believe in the fundamental rule that every Procurement initiative should start with clean data.
Custom Built AI Models
ProcureVue uses Agentic AI to clean, enrich, harmonise, and categorise client data to provide each client with the One Source of Truth. Our proprietary code base and AI models have been curated over the years to ensure intelligent and accurate automation of data cleansing and prediction for categorization.
Spend Analytics & Quick Hitter VUE Insights
Reveal immediate line-by-line savings opportunities by category, supplier or SKU, often covering your project ROI within weeks through our spend analysis.
Purchase Performance Index
This custom tool(measure) allows organizations to track changes in the prices of goods and services purchased over time. This overview of your company’s total performance empowers leaders to identify trends, cost fluctuations, and potential cost-saving opportunities.
o Identify consolidation opportunities
o Pinpoint underperforming vendors
o Track price variance and identify savings
o Optimise working capital
o Drive savings across multiple areas
This enhanced capability to drive performance improvements can help move Procurement from being viewed as cost controllers to value creators.
