Consumer Data &
AI/ML Personalization
Who We Help
• IT has a vision but seeks guidance on implementing data-driven personalization
• IT has the data and infrastructure in place, but marketing needs assistance in bringing it to life
• Retailer aims to create a cohesive shopping experience from currently disjointed systems
• Retailer feels they have kept pace with AI but is now ready to lead rather than follow
What We Do
It is no longer news that retailers are also data companies. But best practices in how to collect, store, process, interpret, distribute, update and employ consumer and transactional data is still maturing in many ways. Thus, there is no area in retail currently that businesses can benefit more from external expertise.
Over the last few years, AYABE has lived at the tip of the spear in grocery e-commerce, loyalty apps, automated outreach, dynamic promotions, and personalized ads. The coordination required across so many departments and skillsets means discipline in Single Source of Truth (SSOT) and pushing workflow forks upstream is critical.
The Project
Discovery Sessions
Collaborative Decisioning
Documentation Period
Delivery Presentations
Execution Period (Optional)
The Deliverables
Marketing Automation Campaigns by Consumer Lifecycle
Cohesive Personalized Shopping Experience Plan
Consumer Systems Architecture & Data Flow Diagram