Spend Analytics

Fragmented data about spending shows an incomplete and disjointed picture of your expenses, leading to a possible spend leak. Get a unified view of spend data and analyze it to make smarter purchase decisions as well as extract savings.

See the big picture and its building blocks

Expense data stored in different systems and formats impairs your ability to get a complete picture of enterprise cost categories. You won’t know if two teams are buying from the same supplier at varied rates. Or if you’re spending more when other suppliers can offer better prices. A single data asset, with consistent and standardized data, can change this trend.
CAPIOT’s spend analytics solution integrates and presents spend data from diverse systems, offering a handle on each expense stream. Categorize and transform different formats of spend data based on standardized classification, to enable searchability. With this, drill down on singular spends or zoom out to know the overall enterprise expenditure.

We deliver tangible, lasting benefits for businesses. Here’s how:


Standardized labeling

Use machine learning to categorize data right at the ingestion, no matter the format it comes in, then label and standardize it as per the UNSPSC taxonomy. Consistent, accurate data is now ready to be distributed and mined for insights.


Culture of classification

Get the technology and processes needed to create an enterprise culture of classification, based on syntactic approaches. Empower teams to make better decisions with reliable spend data.


Unified data mart

Bring all spend and purchase information, from internal and external sources, onto a single data mart. See the unified picture, investigate it, and extract details.


Maximize relationships

Search for supplier information - price, contracts, quality of products, rates, or quantity - and make comparisons to find the best-fit supplier. Get answers to such queries in minutes, with automated spend management.


Insightful analytics

Generate reports to highlight trends in expenses, supplier relationships, use of existing inventory, new orders, and spot saving opportunities. Powered by AI, perform ‘what-if’ analysis to predict spend scenarios.

Become a data-driven, sharp purchase team.