Omnitive Recommend Vision Paper
Omnitive Recommend: Precise recommendations that anticipate your customers.
Recommendations are the way customers discover information today. Whether it is recommending what to buy on Amazon or what to watch on Netflix, or what to learn on online learning platforms like Coursera, it is a proven lever to unlock exponential growth, productivity and customer satisfaction.
“According to McKinsey, 35% of Amazon’s purchases and 75% of Netflix’s viewings are made through recommendations.”
With the sheer scale of customers today, businesses and organisations will be expected to deliver timely and relevant recommendations at the speed of their work or their purchase journeys. Recommendation engines need to understand, anticipate and provide recommendations beyond simple search and match query with a content system in the quest for personalisation. To check all these boxes, we created Omnitive Recommend, a personalisation engine that senses what its users need, think and feel, for organisations that want to anticipate customer demands and realise organisational productivity.
In our Omnitive Recommend Vision Paper, we will cover the following:
- Key components of Omnitive Recommend
- Omnitive Recommend’s workflow
- Limitations of industry solutions
- 4 value propositions of Omnitive Recommend
- 4 use cases for Omnitive Recommend, for employee development, learning management, consumer product and services, and e-commerce
TAIGER is a visionary Artificial Intelligence (AI) company pioneering next-generation AI solutions to process highly unstructured information with ease, accuracy and versatility for businesses to optimise operational inefficiencies and drive business value. TAIGER is currently present in Singapore, the UAE, Spain and Mexico City with more than 50 global projects. Along with IMDA’s accreditation, TAIGER has won numerous global awards and plans to change the way humans work.
Get Your Solution Paper