Shopper Log is an anti-fraud service for decentralized and collaborative e-commerce, built by buyers and sellers.

REDUCE losses due to fraudulent purchases.

INCREASE the conversion rate of stores.

SIMPLIFY the shopping experience for customers.

The solution is made up of an application that:

Unifies the management of buyer data (biometric, payment, billing and shipping) through a Single Sign-On.

Avoid repetitive operations by synchronizing data each time the shopper enters a store using the service.

Reduces the steps to carry out a transaction.

Processes the information of each buyer together with data from their purchase history using Artificial Intelligence to prepare their rating (scoring) as a customer.

TODAY: It is in the prototype stage and tests will begin in a universe of 5 stores with 75 thousand customers.
In 2021 Shopper Log was chosen in the Prendete Contest among 180 projects in Argentina.