INTELLIGENT PRODUCT RECOMMENDATIONS
Truly relevant product recommendations combined with a non-invasive user interface drive sales and provide a helpful service to your customers. Powered by intouch.com, this machine learning-based recommendation engine is designed for physical retail environments!
Using the 1:1 communication channel of our My-Scan applications, impact CX enables retailers to promote truly relevant products at the optimal time and location in-store.
Use real-time behavioural data and consider factors such as; demographics, weather, store location, time of day, day of week etc. in order to decide what product to recommend and when.
Recommendations are displayed at the critical moment of truth.
Making the right decision, in real-time.
Understand what products are sold in-store and: Who buys them? When they are bought? What other products are they associated with?
What is happening in real time in and around the individual store: Is it raining outside? Is there traffic nearby? Is the store in an affluent area? Is there a big event (football game) happening tonight?
Who is currently inside the store: Purchasing patterns? Demographics? What should be promoted if they buy a particular item?
Driving Sales, continuously:
Save thousands of hours by eliminating rule-based engines and switching to fully automated product and event tagging.
Continuous optimization by constant re-training of audience association models to create the world’s most accurate in-store targeting.
Responding in Real-Time
Deploy the cloud-trained models at edge-level to quickly interact with your dynamic store environments.