Leverage Machine Learning to ignite your Master Data Management efficiencies.
Meet DIVE – a Machine Learning platform that integrates with your existing MDM application to automate the manual data management processes that slow you down. We built DIVE to help companies optimize their Master Data Management processes and put their efficiency into high gear.
DIVE’s algorithm is built on a basis of continuous data analysis that uses existing information to further automate manual data processes.
DIVE automatically structures data from your vendor saving them time and making you their favorite customer.
DIVE automatically classifies your raw data and sends back classification suggestions with 80-90% accuracy.
DIVE uses historical data and current trends to automatically generate business rules and standardize data.
DIVE analyzes your Master Data Management and eCommerce data to generate recommendations and product references.
Through the customer portal, users can upload/delete catalogs, create models with cross-validation on selected attribute combinations, and update/re-train models to improve their results. DIVE will build specific models and provide metrics on the applicability of each model to the dataset. Plus, all portal functionality can be utilized via REST APIs for technical users.
With the ability to now handle hundreds of thousands of SKUs, your business can offer more products and better variety, as well as handle more vendors.
Manual information mapping can be a daunting task. Automated mapping streamlines the process and makes vendors love working with you.
Auto-classifying 80-90% of your product data helps get products to market faster.
Product recommendation directly impacts overall revenue with visitors more likely to return and buy based on a product suggestion.
Machine Learning automates many data management processes, which in return eliminates human error for improved data quality.
By automating manual data processes, product managers can focus on high-value tasks that keep them engaged and motivated.
Did you know that on average it takes a company 30-45 seconds to classify one product SKU?
Potential time savings: 10,000 SKUs x 30 seconds = 83 hours
By automating a product classification process your company could be saving hundreds of hours on each product catalog update.
Having helped customers all over the world with their data management journeys, we have gained deep knowledge and expertise in managing leading Master Data Management applications:
Contact Us