Aligner
Aligner organizes products into clusters whose features or members are similar. This technology tool by Mobius extracts the contents of unassigned offers, cleans the data and then processes them to measure similarities using statistical techniques. Once the similarities are traced it clusters them into groups. Each cluster is given a confidence score to aid in calculating the accuracy. Mobius uses this technology to help group merchant offers in our Datafeed Management Service.
- Statistical techniques such as NLP, Association law and Clustering logic are used.
- Capable of handling hard and soft categories by its own.
- Self learning algorithms result in less manual intervention.
- Works with minimum number of data points.
- Uses content from Product Page URL for adoption.
- Suggests brand names of a product by its’ own logic.
- Overall accuracy of 87%
- Automation leading to low cost and quicker turnaround times.
