SpendWIZ uses deep learning and machine learning algorithms to discover hidden savings opportunities at a fraction of the cost of traditional solutions.
Our AI-based classification methodology uses machine learning and deep learning to produce a low touch and non-invasive result with greater than 95% accuracy.
Our taxonomy agnostic approach allows you to use your unique taxonomy to classify and analyze your spend. If you need help getting started with taxonomy, you can get started with one of our industry-specific taxonomy templates.
In addition to important source data from any ERP or financial systems, SpendWIZ can simultaneously address spend from diverse, complex and unclean data sources, allowing for analysis of spend for the entire enterprise, including hidden silos.
Advanced analytics algorithms flow through the spend data with amazing complexity, enabling customers the capability to efficiently clean and normalize the right data while maintaining the integrity, availability and reportability of the original source information.
Self-service visualization tools allow you to correlate the procurement and spending data by applying the results against its complete analytics data model.
SpendWIZ analyzes potential savings related to your spend data through the deployment of packaged Procurement and Spend Dashboards and Reports on a self-service visualization tool that is completely interactive with full drill-down capabilities for all the users.