Products

Crystal

Automated Prediction platform with unique machine learning algorithm to predict time series

Genius Finance

FinTech Marketing Price Modeling by correlating Demand, Offer and Transport

Genius Retail

Automated forecasting of Retail & Supply Chain KPIs to Optimize Business Operations

Quartz

Automated profiling & targeting platform, leveraging the knowledge embedded in your big data


Predicting the key performance indicators of your business allows you to anticipate and take pre-emptive actions.
It provides a unique competitive edge.

Produced vs used data chart

But classic predictive analytics solutions require:

  • Require a high level of mathematical expertise
  • Have no automated or simple access to all the available open data sources
  • Require complex IT and software integration into expensive enterprise data centers

Predictive Layer platforms learn
from the open data of your industry,
and predict your business

Predictive Layer Crystal & Genius Finance platforms allow any business specialist to model and automatically predict its key business performance indicators, using the knowledge included in your big data.

  • The predicting platform is fully automated and it does not require special mathematical expertise
  • It is using a set of innovative high performance artificial intelligence machine learning algorithms

Security

Reliability

Scalability

Privacy

Confidentiality

Predictive Layer IT & Software implementation can be deployed automatically at your convenience in a secured cloud-based service or directly in your enterprise data center.

  • Business owners can bring in their own data and indicators, and they receive the results of their predictions via APIs or via a web service user interface
  • So you can simply learn from your smart big data, anticipate your opportunities & challenges and take the right actions before the competition!
Automated machine learning system schema

Crystal automated machine learning platform

Crystal is Predictive Layer's automated machine learning platform to predict the short term evolution in time of your key business indicators.
  • If your business is highly seasonal
  • If your business has evolving daily trends
  • If your business depends on major external factors like weather, calendar, web sentiment
  •  
  • Crystal can automatically learn from your historical big data and from the available open data of your industry
  • Crystal predicts the future evolution in time (hourly, daily, weekly, monthly) of your key business indicators
You can use these predictions to take preemptive action leading to true impact on your business:
  1. Accurately anticipate your purchase plans to obtain better prices
  2. Predict work-load in the supply chain optimizing flexible costs, while improving service quality
  3. Identify your target audience to adapt your sales & marketing efforts
  4. Precisely forecast the future market demand to optimize your production plans and inventories, without missing any revenue opportunities
Crystal has already implemented and optimized all the necessary algorithms to produce these predictions automatically.

 It uses artificial intelligence machine learning and a series of unique and innovative algorithms.

Your data scientists can focus on the true value chain of your business, without requiring advanced mathematical expertise.

  • The business users of the platform can simply bring their expertise and knowledge of your business to create simply a valuable prediction of a key target indicators
  • Users can select target variables that drive immediate actions, select the most probable variables of influence, monitor the model creation via simple, and intuitive web services
  • The user can then initiate the modified action plan, directly based on the prediction results.

Crystal will automatically connect to the available exogenous data in your industry or from adjacent influential sectors.
It will bring the learning from its historical track record and correlate it with the performance indicators of your business, at the same time and date.

To provide scalability, resilience, security, confidentiality and privacy, Crystal platform can be operated in multiple existing IT & Software frameworks: in public cloud, in hybrid secured cloud, on premises private cloud or classic data center.
The deployment and operations are automated and controlled via web services.

Genius Finance automated machine learning platform

Genius Finance is Predictive Layer's automated machine learning platform to predict the short term evolution in time and the trends of selected B2B trading and/or financial markets.

Genius finance leverages its unique and innovative machine learning artificial intelligence to learn from all the available market data the relative influence of each participant in a B2B trading situation.

  1. It connects automatically in real time with a wide range of open data which impact supply & demand.
  2. The automated machine learning innovative algorithms process historical data to identify past trends and influences.
  3. Genius finance is automatically correlates all the different input variables and predicts the short term evolution trend and levels to be expected in future days, weeks, months.
  • The user of the Genius Finance can focus his/her expertise on selecting the most likely variables to impact the trade.
  • Via a simple web based application, he/she can build different prediction models to fit the exact trading strategy that he/she wants to develop.
The results of the prediction provide daily recommendations on the trend for each target.

The user will be able to adopt these recommendations and pursue the development of a portfolio of assets on this basis.

Genius Retail automated forecasting for Retail, Supply Chain and Logistics to Optimize business operations

Genius Retail is Predictive Layer's automated machine learning platform to predict the short-term evolution in time of the key performance indicators of a retail business.

Genius Retail leverages its unique and innovative machine learning artificial intelligence from retailers' Big Data sources and from external market & event trends and open data bases.

  1. It connects automatically in real time with a wide range of Retailer, supply chain or logistics IT applications, but also from external data bases of events which influence retail or supply chain activities (weather, sport, social, trade shows, events...) providing visibility to supply & demand patterns.
  2. The innovative automated machine learning algorithm processes historical data to identify past trends and influences. It correlates them with actual impact on key variables for the Retail business (turnover, articles, flow, per product line or per category).
  3. Genius Retail is automatically correlates all the different input variables and predicts the short term evolution trends and levels to be expected in the future (intraday, days, weeks, months).
  • The users of Genius Retail will focus their expertise on selecting the variables most likely to impact retail & supply activities.
  • Via a simple web based application, he/she can build different prediction models to fit the exact tracking of revenue, flow of people, number of tickets, per category, per product, any day and at any time slot during the day.
The results of the prediction provide daily forecasted evolution, minute by minute for each target.

Based on these forecasts, the user can plan short-term resource allocation, purchase orders, inventory management & optimization to maximize the Return on Investment of the retail and supply chain activities.

Quartz to predict temporal consumer behaviors

Quartz is Predictive Layer's automated machine learning platform to profile and predict future behaviors of consumers or business systems.

The Predictive Layer platform automatically leverages its unique and innovative machine learning artificial intelligence to learn from all the big data collected by the customer systems.
It classifies and understands the key user characteristics, and predicts the probability of these profiles to demonstrate a certain target behavior.

It will, for example, detect:

  • Future churners of a service
  • Propensity to buy new products for up-sell or cross-sell for telecom, retail, bank or insurance
  • Risk of fraud in payment or commerce transactions
  • Efficiency factors of insurance processes
While it analyses the customer systems with all the available big data, Quartz is also connected to multiple sources of external open data which bring more learnings and increase accuracy.
Quartz used to predict temporal consumers behaviors
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