Match People with
Products
Match Inventory with
Opportunity
Match Price with
Spending Propensity
Match People with
Usage Patterns
'I have never seen data extracted using the language and systems Vian Chinner has developed. This is going to be huge. Fortune size companies receive up to 80% of their sales through machine learning recommendation engines.
PhD, Director: Revenue Optimization Advisory at PwC.
I’ve seen many data warehouses and data science teams unable to provide basic insights. Xineoh quickly goes beyond the current state of the art.
Former CTO at Move, Inc, VP IT Operations at Netflix & VP Engineering at Yahoo. Xineoh board member.
Xineoh’s insights & predictive accuracy has already evolved our views on the future of planning. More importantly, they unlock a plethora of underlying, tangible opportunities that nobody can possibly derive through any best-practice principles I’ve seen in my career.
Former Chief Executive, JET Africa
Xineoh did a great job, they gave us a major lift with the price elasticity insights their platform mined.
Kevro, Charged Commercial Officer
Xineoh has expedited the use of content through their platform to deliver a working solution that can be implemented across a number of touchpoints, at almost double the accuracy of other popular recommendation engines on the market.
Senior Manager Analytics & AI
1 / 5
ACCESS TO STATE OF THE ART AI
Most businesses cannot compete with the tech giants when it comes to recruiting top data scientists.
RISK FREE
Building custom solutions are expensive and success is not guaranteed.
HUGE UNEXPLOITED INCREMENTAL VALUE
By using AI to show customers the right items at the right times, Netflix saved $1 billion in 1 year. What can your business gain?
