Forecasting the power usage of multi-national industrial plants is not a walk in the park. An increase in the volatility of renewable energy, ‘on-demand’ usage by customers, has led to a continuously evolving smart-grid—making it harder to predict the real-time energy grid balance between usage and price. Now consider retail and catering chain’s situation in predicting the amount of product sale that’ll ensue tomorrow and next weeks. “Minimizing wastes and optimizing costs turns into the core profitability here,” says Olivier Cognet, CEO at Predictive Layer. The process and considerations may be different in both the cases, but the lingering problem remains the same! How to analyze controlling factors and forecast the exact patterns to optimize business processes and inventories? Enter Predictive Layer! By delivering short-term daily, weekly, and monthly automated predictions, Predictive Layer is changing the paradigm of industries such as energy, transport, freight, supply chain, and retail.
The firm has developed an industrialized solution based on machine learning algorithms that correlate customer's data with external data to provide auto-adaptative real-time forecasts of trust and reliability. “We have been able to mature Artificial Intelligence to create performance and scale. We leverage AI to offer automated predictive analytics system to industries such as energy, transport, freight, catering, retail,” says Cognet. Instead of installing a mathematical prediction platform which has to be used by advanced mathematicians, Predictive Layer platform is adapted to multiple industry sectors to deliver automated machine learning artificial intelligence and enable industry sector specialist to set-up accurate and reliable prediction model.
We have fully automated and industrialized machine learning, artificial intelligence. It provides precise & reliable forecasting and optimization to industry, retail, and transport
A supermarket has to anticipate which shelves to fill first and how to manage its staff and inventory. Predictive Layer Platform ensures that the retailers consider the future sale elements in advance and take decision accordingly. “If it is a holiday weekend, with a cold weather and congestion on the roads, and predictive layer will take the purchase history into account, to anticipate which were the most purchased products in the previous years at the same date, the maximum hours of affluence and the mode of preferential payment that day. They will be able to order from their suppliers based on these predictions, provide staff at checkout and shelves so that the passage of the client is as fluid as possible, "says Olivier Cognet. The firm takes the guesswork out of energy demand by making better predictions about how much power will be generated and when. Predictive Layer starts from the origin influential signals like weather and calendar, automatically modeling consumption and production models to estimate the power need and market balance.
Cognet elucidates that there are three primary features of Predictive Layer’s platforms that steer the firm ahead of the competition. “Our innovative machine learning solution is truly automated, it accesses already to fast growing open data and it is ‘prediction as a service’ with a flexible and easy to test IT model,” adds Cognet. No wonder there’s a clear rationale as to why global giants such as General Electric and ArcelorMittal collaborate with Predict Layer. Luis de Miguel, MD ArcelorMittal Energy says, “With its latest algorithmic innovation and its quick and reliable industrial IT implementation, Predictive Layer allows ArcelorMittal to automate even further for its energy procurement.”
Over the course of last two years, the firm has witnessed rapid growth. Not only has Predict Layer attracted global firms to partner with them, their discourse and conviction has allowed the firm to establish its footprints in Switzerland, France, Germany, Spain, and Belgium. Cognet states that in the future the firm will grow with the accelerated momentum across Europe and eventually US and Asia with its global industrial partners. “Data processing and predictive analysis is a revolution of the coming years, Predictive Layer will be leading this revolution,” concludes Cognet.