FinlandMedia and entertainment2017 – ongoingVeikkaus
Sense recommendation engine
Veikkaus extended its in-house Sense recommendations across digital customer channels
Problem
Veikkaus wanted greater visibility into how its AI models worked after using externally supplied black-box systems. It needed recommendations for several digital channels.
Approach
Veikkaus built Sense internally and launched it in 2017. Its data and analytics executive described a modular recommendation engine serving the website and mobile app, alongside CRM and digital marketing. The company used that visibility to inspect performance and develop the models further.
Results
No published figures
Takeaway
The disclosed result was deployment across channels. Veikkaus did not isolate Sense's effect on revenue or customer experience.
Categories
- Industry
- Media and entertainment
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Veikkaus's data and analytics executive dates the Sense launch to 2017 and describes its recommendation channels. The interview explains why the company built an internal system, without reporting a separate financial result for Sense.
Full details are in the original sources.
