EmcienPatterns

An analytics application designed to analyze data streams and determine buying patterns, commonality and trends.

Product Features

Identify cross-selling opportunities

Customers consistently buy high sellers alongside other products. Any level of cross-selling or bundling done on these items can have a big impact on the bottom line. EmcienPatterns detects these groups automatically, ranking them based on the correlation and the frequency of sales, making it easy to decide which groupings to leverage.

Customer & Transaction Analysis

Understanding how customers are buying your products enhances insight, providing opportunities to fine-tune retail operations and store manager decisions. Protect your core business while leveraging patters of sales in trending categories.

Increase forecast accuracy

If you are unable to accurately forecast demand, it negatively affects the operation of the rest of your organization. EmcienPatterns tracks your top sellers and their correlations with other items over time, producing forecasts with much greater accuracy. This increased accuracy results in optimized stock levels, the effects of which go directly to the bottom line.

Improve substitute product recommendations

A sold out product doesn’t have to result in a lost sale. Rather, it can be an opportunity to engage customers and help them select a substitute. EmcienPatterns automatically identifies which products are popular substitutes for one another based on historical sales patterns. Utilizing this insight, employees can confidently recommend alternative products without extensive training or experience.

The Technology

At the heart of every Emcien analytics application is our patented Pattern Detection Engine. The pattern engine identifies when elements (or tokens) are found together, always apart, “distance” apart, time-dependent, etc. This network of connections is then leveraged by our unique optimizers and user interface to “automatically reveal” the strongest (and weakest) patterns found, by category but also by item. Read more about the technology >>