Instead of validating each proof or purchase manually, Kweeri automatizes the complete process, from receiving a picture straight from the mobile app, to sending back a detailed validation, including suspicion detection, in real time

Once a receipt is completely analyzed, marketing actors can build on these data comprehensive and efficient recommandations to their clients. Thus, beyond coupon or cashback process improvement, Kweeri provides to its clients an additional and significant source of revenues.

Following a shopper purchase by purchase is the best way to catch each opportunity to touch base with him, and send him almost in real time the most relevant offer at the best moment, for the most efficient activation.

Measuring sales performance, promotional effectiveness is complex, due to the divergence in product categorization specific to each sales channel. In Kweeri, we solve this problem categorising product data universally, allowing data to be compared or benchmarked without a long & costly reprocessing and/or coding step for every comparison.

Consumer Panel sample sizes are constrained due to high data acquisition costs per panelist. With Kweeri receipt analyzing technology, the data acquisition process becomes less painful for the panelist (scanning a receipt rather than scanning every product barcode individually) and therefore more cost effective and in real time.

Through Kweeri, Marketing players will obtain higher data granularity in areas and/or sub segments of the market which were previously unreachable, allowing to monitor with hyper location data consumer habits and activation efficiency. This will provide data for brands to re-target consumers more effectively.

Grocery shopping is the 3rd largest expense in European households accounting for 12.1% of the total budget. Providing a functionality which allows users to spend more effectively, extracting ticket data automatically down to product /brand level is a unique feature

KYC. Through regular monitoring of what users buy, you will be able to determine product purchase patterns, this additional layer of data based on product consumption will enrich existing credit scoring systems improving accuracy in user credit scores helping reduce defaults and unpaid loans.

Make your mobile app the first touchpoint. Users take in average 3 pictures/week, 1 minute per picture. Looking back on expenses would increase APP usage frequency at least between 25-30 minutes a week, engaging users more frequently.

Through our ticket reading functionality, we can extract the nutritional values of all the products in a ticket to help users monitor their health. In addition, we can also determine the carbon footprint from a receipt helping users monitor their environmental impact when shopping.