Industry Solutions


Drive new revenue through Alternative Data and Retail Media Networks.

Today’s Challenges 

Understanding Consumer Behavior

With a plethora of transactional data, retailers often face challenges in discerning critical consumer insights, leaving potential revenue on the table.

Consumer Privacy Concerns

The balance between gathering insights and ensuring consumer data confidentiality is crucial, with growing concerns over privacy in the digital era.



Beyond traditional sales, the rise of Retail Media Networks provides retailers with a fresh avenue for revenue generation by monetizing consumer data for advertizers.

Holistic Customer Profiles

A comprehensive view is essential to cater to customer needs. Retailers who lack this often miss out on tailoring the ideal shopping experience.

Our Solution

Omnisient equips retailers with cutting-edge data collaboration tools to deeply understand consumer behavior while ensuring utmost data privacy, allowing them to unlock new revenue streams, such as Retail Media Networks, and tailor superior shopping experiences. By choosing Omnisient, retailers gain a competitive edge, seamlessly monetizing their vast consumer data and fostering enhanced trust through a privacy-first approach.

From enhancing shopping experiences to leveraging data for new revenue avenues like Retail Media Networks, we’re here to revolutionize retail with state-of-the-art data collaboration and insights.

Privacy-Preserved Data Collaboration

Collaborate with partners outside of your industry to gain a more holistic view of your customers’ shopping behavior, demographics, and preferences.

Retail Media Network Enablement

We help retailers set up and optimize Retail Media Networks, turning their vast consumer data into monetizable assets for personalized advertising.

Unlocking New Revenue Streams

By offering insights directly to sectors like banking and insurance, retailers can further diversify their revenue streams and establish collaborative data ecosystems.

Our Use Cases

Data Monetization

Advertising and Media

Credit Risk Scoring

Insurance Risk

Loyalty and Rewards

Featured Case Study

How Banks use Shopping Data to determine Credit Risk

The objective was to use a retail grocer’s loyalty shopper data as an alternative data source for predicting credit risk among credit invisible applicants, aiming to grow financial inclusion, especially within the lower-income demographic.

Book a Product Demo

Book a demo and discover how we help your business unlock the power of 1st party data collaboration without the risks.

Secure Data Collaboration Platform | Man Smiling

Have a Question?

Your Data, Our Priority – Connect with Our Experts

Understanding the complexities of 1st party consumer data can be challenging, but you're not alone. Our dedicated support team is committed to providing you with timely, insightful answers and guidance. Trust in our expertise to navigate your data journey safely and securely. Let's talk about how we can help your business thrive.