84% enterprises see big data analytics changing their
industries' competitive landscapes by 2015.
89% believe in the risk of loss of share if no serious
action is taken.
By 2016, 70% of the most profitable companies will manage
business processes using real-time predictive analytics or extreme collaboration.
Daily forecasted energy consumption
Customers trusting Predictive Layer
Unique combinations of machine learning algorithms and artificial intelligence are used to automatically correlate :
Predictive Layer provides accurate forecasts of your key business indicators, so that you will leapfrog competition by taking the right market action earlier.
Profiling and targeting customers at risk, and customer future intents to enable churn reduction, cross sell, upsell.
Machine learning will learn from all your big data and identify direct opportunities for new revenue or cost reductions
Connect and learn from market available exogenous data of your industry and anticipate the trends with targeted actions
Just focus your team on your business structure, Predictive Layer platform has automated the mathematics and the IT systems required for predictive analytics.
Based on your business requirements, Predictive Layer platforms will be deployed in your private IT context (in premises) or in a secured cloud base infrastructure (on the cloud).
With Predictive Layer Crystal
You will be able to build the best prediction models for your key business performance indicators
without requiring a mathematician expert, but by bringing your best business know-how of your industry.
In a controlled, flexible and secure IT/cloud environment,
Finance allow you to:
1. Generate accurate and reliable forecasts to optimizing your supply, reducing your purchase and facilitating your logistics, controlling your inventories, optimize your sales & marketing & support delivery
2. Detect and profile the future intents and next actions of your prospective customers, enabling incremental sales, increasing customer loyalty and reducing churn
Predictive Layer automated
prediction use cases are generating
major savings and leapfroging new revenues into these industries.
Predictive Layer services are providing automated prediction
Without requiring mathematical expertise, our clients can build their own models to forecast their core business indicators. The platform give also access to the open data of the our client industry sector so that the 'machine learning' learns from all the main market dynamics to plan further the best action plans.
Automated Prediction platform with unique machine learning algorithm to predict time series. Crystal learns from your signals and from exogenous data influencing them to predict their short evolution in time.
Modeling platform for Financial Markets. By learning from the opendata financial and economic data sources, Genius forecast automatically supply, demand, transformation and market trends impact on key financial indicators.
Predictive Layer présente et déémontre ses solutions d'optimisations d'achats et de trading de l'énergie sur les marchés Gaz & Electricité européens.
VIVA Technology brings the world's most innovative startups together with the major global players in digital transformation. This new international event introduces 5000 startups with top investors and companies to grow businesses and shape the future.
Predictive Layer will participate to the event, as one amongst the most innovative startups to watch. Join us on our booth to discover the power of our solutions.
For three days, starting 30 June, an expected 30000 entrepreneurs, corporate executives, venture capitalists and other investors will join in a purpose-build environment in Paris.
. The goal: to provide a real-time platform for collaboration and a high-level stage for discussions around the impact technology has on both businesses and society.
Nowadays, data exploitation with predictive analytics is improving the industrial processes from machines developments to components inspection, through production monitoring.
Our chief data scientist & 'Why so noise?' team (2 international mates) been ranked 4th position of the Leaderboard.
Congrats to them!