Did you know that the best temperature to sell a Harley Davidson is 22°C and that beer is best sold between 22°C and 27°C?
So what if we could leverage this data through a local & real-time optimized contextual marketing solution?
By correlating in-shop sensor data with sales results, IBaround's algorithmic platform is able to deliver the right in-store promotions to the right person at the right place and time.
What this means for retailers, is a profitable and differentiated business solution that saves time and money while increasing sales and enhancing customer experience.
We designed a platform which crosses context variables, sales and marketing actions. The keystone is a self-optimizing algorithm powered by machine learning.
Our goal: promotion efficiency.
Our key success factor: Sales increase.