Companies at the cutting edge of customer engagement today are delivering 1:1 recommendations in many different forms, powered by Artificial Intelligence (AI) or Machine Learning. Today's digital marketer finally has access to data about customer behavior and preferences in real-time. However, synthesizing this data into recommendations is extremely hard. That's where AI powered systems come in.
RFP Questions for AI & 1:1 Recommendations
- Are unique recommendations available for every user? Is this a native capability or through a partnership/ additional integration?
- How are recommendations generated by your system?
- What forms of recommendations are available?
- Describe how recommendations can be deployed in email.
- Describe how recommendations can be deployed in mobile app push notifications.
- Describe how recommendations can be deployed on websites.
- What kind of latency can we expect for website recommendations?
- Can we import recommendations from our in-house team? If yes, describe how.
- Can we combine multiple types of recommendations into 1 email, with some recommendation blocks coming from our team? If yes, describe how.
- Does your solution offer a visual studio to preview recommendations and add filters?
- Does your solution offer predictive scoring on customer actions? What scores are available?
- What kind of analytics do you offer to understand the predictive scores?
- How often are scores updated?
Updated 3 years ago