E-commerce by very nature generates big data which has mine of information hidden in it. As customers search products, shortlist them, buy them and pay for them, they leave a trace of their preferences, behavior and habits. E-commerce companies are using machine learning to decipher customer’s buying behavior, their price elasticity and brand preferences. With this information, e-commerce players are using intelligent automation to prompt customers with ‘next best action’ in terms of campaigns, new launches or recommendations. Such interventions are known to improves sales by 10-30% at minimal extra investment. MAcine learning is further helping these players in intelligently routing their packages to cutting down delivery time and reducing cost.

As buyers get used to self-help based online buying intelligent systems will play a big role in success of online players.

Featured Solutions

Case Studies

A leading travel company

 The company carried out manual reconciliation of issued tickets and billings between the airline company and its customers. This was tedious, error prone and time consuming. We helped the company deploy intelligent automation which provided seamless reconciliation from ticket requested till the final billing to the company’s customers.

Read More