84% of 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; the Predictive Layer platform has automated the mathematics and the IT systems required for predictive analytics.
Based on your business requirements, Predictive Layer platforms can be deployed in your private IT context (on premises) or in a secured cloud based infrastructure (in 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 provide automated prediction
Without requiring mathematical expertise, our clients can build their own models to forecast their core business indicators. The platform also gives access to the open data of the relevant industry sector so that the 'machine learning' learns from all the main market dynamics to further develop 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 financial and economic open data sources, Genius automatically forecasts supply, demand, transformation and the market trend impact on key financial indicators.
Real-time forecast of retail business, customers, inventories by correlating historical business records with influencing open-data to optimize resources allocations, inventory and logistics for each product category.
On October 18th at IDC's conference in Paris on Artificial Intelligence and Machine Learning, Predictive Layer will present an overview of how to use your company's own data enriched with external data sources to improve short-term forecasts or improve the company's pricing approach.
This will include examples of how to move rapidly from a Proof of Concept (PoC) to deployment at industrial scale, which key success factors to consider and what type of results might be expected.
The presentation will be illustrated by real-life customer examples that demonstrate specific benefits and lessons learned.
Come and join us at the event on Thursday, October 18th, at the Aéroclub de France, Paris 16ème.
Sign-up for free.
On October 9-11th at the annual Canalys Channels Conference EMEA in Barcelona, Spain, Predictive Layer will share how to use a company's own data enriched with external data sources to improve short-term forecasts and improve the company's pricing approach.
We will discuss how to deploy AI/ML solutions at industrial scale, key factors to consider during implementation and what results clients can expect.
This new, AI/ML-based approach to dynamic pricing is particularly relevant for many of the distributors and technology vendors who will be attending the event, but applies equally well to companies across many industries with B2B sales teams.
On June 11th in AI Paris, Cité de la Mode & Design, Predictive Layer is demonstrating live its Dynamic Pricing Engine Platform – Genius Pricing.
Predictive Layer automated machine learning & artificial intelligence is enabling the dynamic optimization of prices that a Product or a Distribution company can provide to their Clients. Predictive Layer Dynamic Pricing engine correlates automatically the sales and support data with the external market pricing and market drivers, to assess real-time pricing elasticity and optimize the prices for every RFQ for customers, resellers or distributors.
Genius Pricing real-time price recommendations allow up to 4% increase of gross margin & 2% of incremental market share. Furthermore, it is improving the efficiency of the sales organisation & pricing process by up to 20%!
Come and visit us at Artificial Intelligence AI Paris 2018, Stand A11, 11 & 12 june 2018.
During the leading 2018 tradeshow for innovation in Paris, Viva Technology, Cisco and Predictive Layer jointly present how to Automate and Optimize Operations for Retail, Catering, CPG, Airports & Transports.
Business performance is directly improved by forecasting future demand and supply based on multiple variables of influence.
Wait-lines are reduced by processing the Cisco LAN/Wifi data records. Furthermore, Workforces, Inventory, Supply chain can be minimized, Waste avoided; for the best benefits of the clients and the quality of the those services. Please visit Cisco & Predictive Layer @ Booth L30-012.