ScienceSoft Helps Retailers Get to Know Their Customers

ScienceSoft started to offer retail companies a deep Loyalty Program analysis to reveal habits and preferences of their customers. Advertising and promotion campaign optimization allows retailers to increase marketing efficiency by 30-40%.

Extensive experience with retailers and big data, as well as high technical expertise allowed ScienceSoft to introduce a new analytical offer for retailers within the scope of Rich Data Analysis direction.

Loyalty Programs allow retailers to collect customers’ personal information as well as entire purchase history.

ScienceSoft introduced analytical systems that are capable of processing this data to generate personalized offers and reminders, as well as to evaluate the effect of alleged promotions within distinct customer segments. These solutions can carry out deep purchase analysis of each customer as well as build complex behavioral models to identify trends and purchase patterns.

ScienceSoft designs self-learning systems that adjust behavioral models on a periodic basis to make communication more effective. 

By analyzing customers’ preferences and purchase patterns, retailers can influence their behavior and habits through personalized offers and invitations as well as assortment optimization based on their needs.