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 action plans.
It is providing a unique competitive edge.

Produced vs used data chart

But classic predictive analytics solutions require:

  • A high level of mathematician expertise
  • No automated nor simple access to all the available open data sources
  • A 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 are allowing any business specialist to model and predict automatically 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 implementing 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 on a secured cloud based services 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 the smart big data, anticipate your opportunities & challenges and take the right action plan before competition!
Automated machine learning system schema

Crystal automated machine learning platform

Crystal is Predictive Layer 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 a daily major evolving 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 predict the future evolution in time (hourly, daily, weekly, monthly) of your key business indicators
You will use those predictions to take preemptive action plan leading to true impact on your business:
  1. Anticipate accurately your purchase plan to obtain better prices
  2. Predict work-load in the supply chain optimizing flexible costs, while improving service quality
  3. Plan customer audience to adapt and target the sales & marketing efforts
  4. Forecast precisely the future market demand to optimize your production plans and inventories, without missing any revenue opportunity
Crystal has already implemented and optimized all the sequence of math algorithms to allow those 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 math expertise.

  • The business user of the platform will bring his expertise from your business to create simply a valuable prediction of a key target indicators
  • The user will select target variable that can drive immediate action plan, select the most probable variables of influence, monitor the model creation via simple, and intuitive web services
  • So that the user can initiate the adjusted action plan, directly based on the prediction results.

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

To provide scalability, resilience, security, confidentiality and privacy, Crystal platform can be operated in multiple flexible IT & Software existing framework: 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 automated machine learning platform to predict the short term evolution in time and the trends of some selected B2B trading markets and/or financial markets.

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

  1. It connects automatically in real time with a wide range of open data which provides knowledge on supply & demand.
  2. The automated machine learning innovative algorithms are processing the historical data to identify past trends and influences.
  3. Genius finance is correlating automatically all the different input variables and predicts the short term evolution trend and levels to be expected in the future day, week, months.
  • The user of the Genius Finance will focus his expertise to select the most probable variables impacting the trading.
  • Via a simple web based application, he will build his different models of prediction to fit the exact trading strategy that he want to develop.
The results of the prediction provide daily recommendation on the trend of each target.

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

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

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

Genius finance leverage its unique and innovative machine learning artificial intelligence to learn from Retailer Big Data sources and from external markets & event trends and open data base.

  1. It connects automatically in real time with a wide range of Retailer, Supply chain or Logistics IT applications, but also from external data base of events which influence the retail or supply chain activities (weather, sport, social, tradeshow events...) providing visibility on supply & demand patterns.
  2. The automated machine learning innovative algorithms are processing the historical data to identify past trends and influences. It correlates them with actual impact on the key variables of the Retail business (turnover, articles, flow, per product line or per categories).
  3. Genius Retail is correlating automatically all the different input variables and predicts the short term evolution trend and levels to be expected in the future intraday day, week, months.
  • The user of the Genius Retail will focus his expertise to select the most probable variables impacting the retail & supply activities.
  • Via a simple web based application, he/she will build his different models of prediction to fit the exact tracking of its revenue, flow of people, number of tickets, per category, per product any day and at any timeslot of the day.
The results of the prediction provide daily forecasted evolution, minute by minute of each target.

The user will use these forecasts to plan its short term allocation of resources, purchase orders, inventory management & optimization to maximize the Return on investment of its retail and supply chain activities.

Quartz to predict temporal consumers behaviors

Quartz is Predictive Layer automated machine learning platform to Profile, Predict future behaviors of consumers or business systems.

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

It will for example detect:

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