The subscription to Predify is monthly: the amount depends on the turnover that the solution is able to bring to the company.
What data does Predify use?
The solution analyzes, without altering, the data you have (product catalog, order history, internal statistics, …) to which it adds external data (weather, stock market prices, trends, …) in order to ‘get the best predictions for your business.
Who chooses criteria from big data?
Together we work on the most impactful criteria for your business. You realize later that other data impact your sales, no worries, Predify evolves with you.
The software decides everything?
Predify is primarily a decision support tool. An artificial intelligence certainly, who can advise at best, but it is you who decide in the end.
Are there developments on my side?
Predify works through an import / export file system. No significant development on your side, only some data must be available for the software to handle the analysis.
What guarantees me your reliability?
We fully understand that there is still a reluctance vis-à-vis the artificial intelligence. At Predify, we offer a FREE test: contact us and we will plan a test together.
Can I use only sales prediction?
Only the Optimization part of the price depends on the predictions; you can only ask for Sales Prediction or Return Prediction.
Once the software in hand, you let me get by?
Predify is a robot, not the team! We are available and at your service before, during and after the implementation of our solution: the human remains essential in our efforts, so Predify does not make any final decisions for you.
Sales predictions for Services
Catering, hotels, ticketing, … Quality services also need to predict sales. In order to mobilize the necessary resources and, for certain sectors, to have an optimal stock, it is essential to forecast sales with a reliable and low-constraining system.
Anticipez les ventes
As a restaurant, for example, there is a dependence on suppliers who feed raw material: the right response to demand is crucial. Knowing in advance the attendance of a ski resort with specific data will for example predict the consumption of packages, meals, people to mobilize, …