Use cases

Energy / Utilities

Optimize Energy Trading
& Distribution with SmartGrids

Retail & supply chain

Automated Forecast to Optimize in-Store
Operations & Supply Chain inventories

Airports & public transports

Forecast affluence to optimize
workforce & resources sharing

Financial services

Know truly your customers
and anticipate markets evolution

Telecom

Optimize Infrastructure
& Customer Engagement

Other

Freight, logistics and more...


Predictions and forecasting the key performance variable of a business is critical to it competitiveness of businesses.

Gartner expect that by 2016, 70% of the most profitable companies will manage business processes using real-time predictive analytics or extreme collaboration.

Predictions and forecasting the key performance variable of a business is critical to it competitiveness of businesses. Gartner expect that by 2016, 70% of the most profitable companies will manage business processes using real-time predictive analytics or extreme collaboration

Forecasting & Predictive analytics can give a unique competitive advantage in all the function of an enterprise organisation:

  1. To adjust production means to the demand
  2. To minimize inventory without missing any customer opportunity
  3. To optimize logistics & distributions
  4. To target individualized offers fro new revenue & profits
  5. To optimize sales and marketing efforts across opportunities
  6. To identify faster and precisely new upsell/crosssell opportunities
  7. To support more efficiently customer increasing satisfaction and loyalty
  • Beyond company global predictions, how to automate the localisation of these predictions and make every region access to their benefits?
  • With artificial intelligence, we can make every local need benefits from the global corporate learning

Predictive Layer Crystal, Genius Finance & Quartz have automated the best algorithms to serve the different1 functions of key sectors where the Prediction has a large contribution to the revenue and profit of the overall business.

Predictive Layer performance allow both savings in costs and / or incremental profitable revenue impacting up to 35% of the bottom line of its users.

Below are selected examples of sectors and use cases where Predictive Layer have proven their performance.

Energy Transition is bringing massive disruption into Energy & Utility sectors.
Predictive Analytics has become a unique competitive differentiator to improve operation performance, Energy trading & purchase and Customer engagement.

Energy

Energy Transition, Deregulation and Technologies are massively disrupting Energy and Utility sectors:

  1. Energy transition brings new volatile and versatile renewable sources of energy, and also new mobile and versatile sources of consumption
  2. Open markets and regulations have multiplied and segmented the value chain in multiple players
  3. Industries, smart cities or residential consumers of enegy develops more and more control and efficiency in their usage of energy

All these elements require the grid to become much smarter and more flexible to be able to cope with versatile demand, at the most affordable price.

To optimize this flexibility and to take the benefits of the data collected by the Internet of things, Smartgrids have to enable automated predictive analytics.

Automated Forecasts allow to anticipate and pilot in real-time the energy network with best efficiency.

They also enable preventive maintenance for an even more reliable utility service delivery.


In addition, added value services need to be deployed to allow customers to monitor, control, adjust and optimize their own consumption (eg. demand/response and load shifting).

Each customer profile has also its own needs and specificities. Energy companies shall understand these customer specificities to profile them and target specific new service offering to each of them. This is allowing to increase customer satisfaction & loyalty while limiting the churn of customers to competition.

Predictive Layer platforms has automated predictive analytics. It generates automatically and daily, these forecasts, predictions and profiling services.

New energies (ENR)

Example

Smartgrids
Source: The Economist 2010

Electricity consumption

Energy Infrastructure include fast growing renewable energies productions which are highly volatile resources (solar, wind).

Producers can plan production and storage of energies with Hydroelectricity, or Batteries). Predictive analytics is key to optimize the value that they can extract for such energy pools on the markets.

Energy transport and distribution networks are huge investment, with a long life time. The new volatility of consumption and production is impacting the balance and the aging of these infrastructure.
Furthermore, special environment and external conditions (weather) are impacting even further these systems.

Predictive Layer automated consumption and production forecasts and its machine learning tool enable our customers to:

  1. Guarantee the technical balance of infrastructure (and reduce Imbalance adjustment costs)
  2. Enable selective predictive maintenance
  3. Build reliable service level agreements with customers & suppliers

Example: Predictive Layer accurate forecast of next day consumption can save 40+M€ of purchase of electricity annually on EU national electricity markets.


To know more about Predictive Layer Automated Predictive Analytics

Retailer & Supply Chain Business Challenges

Retail & Supply chain
To remain competitive and differentiate thru digital transformation, retailers need to reach Lean Operations.
During the past years, retailers have consolidated their Big-Data and set-up Business Intelligence.

To reach the next level, Retailers have now to anticipate their key business indicators and use Predictive and Prescriptive Analytics to optimize their workforce efficiency, reduce their inventories while responding with accuracy to their customer demands.

Gartner stated: "By 2016, 70% of the most profitable companies will manage business processes using real-time predictive analytics or extreme collaboration".


Predictive Layer Solution
  • Automated forecasting of business indicators and KPIs
  • Weekly & Intraday, per product categories, in each retail point
  • Taking automatically in consideration dynamically seasonality and
    external influencing factors of each context

Predictive Layer Technologies
  • Machine Learning and Artificial Intelligence for time series
  • Big-Data AND Open-Data automatic correlation
  • Prescriptive Operational Metric Forecasts
  • Automated Contextualization & Deployment in 10000+ point

Retailer & Logistic Business Benefits
  • Accurate Weekly/Daily/Intraday Demand Planning
  • Optimize short term Inventory & Logistic management
  • Optimized Planning & Efficiency of Workforces
  • Optimal Shelf Replenishment, before Missed Opportunity
  • Minimize Wasted Inventory on Perishable Products
  • Compare Retails Location for Best Practice Sharing
  • Tune Marketing Activities to reach Business Objectives
Retail & Supply chain

Solution Benefits
  • Extracting business value from historical data
  • Correlating with influential Open-Data: weather, calendar, community events, in-house or competing marketing actions
  • Automated Machine Learning Forecasting with detailed granularity to Product categories, at each retail points, during various seasonal periods or marketing campaigns
  • Automation of model contextualization for scalable deployments into 10000+ retail points
  • IT flexibility to in house Data-Center or in Secured Hybrid Clouds, with APIs to existing & standard Business Intelligence applications
  • Fast Proof of Concept & Pilot to validate immediate ROI

Retail & Supply chain predictive Layer solution benefits

Airports & Public Transportation Business Challenges

Airports & Public transports
To benefit from the mobility revolution, airports, railways and public transportation infrastructures need to always increase security, efficiency, comfort and competitivity, by leveraging the digital transformation.
During the past years, with IOT & telecom availability, mass transportation providers and transport infrastructures have collected massive data on their sophisticated ecosystems and businesses.

To reach the next level, public transports have to anticipate their key operational indicators. They shall use Predictive and Prescriptive Analytics to optimize their workforce efficiency, improve customer experience while guaranteeing security within their highly mobile customer growth and their always more diverse ecosystem.

Gartner stated: "By 2016, 70% of the most profitable companies will manage business processes using real-time predictive analytics or extreme collaboration".



Predictive Layer Solution
  • Automated forecasting of passenger affluence, next day/week
  • Automated adjustment to evolving context at each gates & halls in each retail point
  • Adapting automatically to seasonality and external influencing factors from other locations

Predictive Layer Technologies
  • Machine Learning and Artificial Intelligence for time series
  • Big-Data AND Open-Data automatic correlation
  • Prescriptive Operational Metric Forecasts
  • Automated Contextualization in thousands of transport hubs
Airports & Public Transportation Business Benefits
  • Accurate daily/intraday passengers @ arrival/departure
  • Forecast Transport Hubs & SmartCities & Parking footfall
  • Resources planning for Security, Logistics, Customs, Retail
  • Workforce Optimization, while controlling Wait-Time/Security
  • Market Retail & Catering opportunities at the most valuable time periods & locations
  • Optimize shared infrastructure allocation (Gates, Tracks...)
  • Increase Passenger & Travel Ecosystem satisfaction
Airports & Public transports

Airports & Public transports
Solution Benefits
  • Extracting business value from historical data
  • Correlating with influential Open-Data: weather, calendar, EuroCtrl flight schedules, real-time traffic, smart-cities traffic & events
  • Automated Machine Learning Forecasting with detailed granularity at each transport hub, halls, during various seasonal periods
  • Automated model contextualization for scalable deployments into thousands of locations
  • IT flexibility: in-house Data-Center or in Secured Hybrid Clouds, SAAS with APIs to existing & standard Business Intelligence applications to preserve business confidentiality & personal data
  • Fast Proof of Concept & Pilot to validate immediate ROI

Retail & Supply chain predictive Layer solution benefits

Financial Services asset management

Financial services
Financial services and Financial instruments have developed in a massive and global way during last 20 years.

More instruments are daily available and are derived from other set of instruments.
Moreover, daily industries and agencies are issuing more open data on markets, supply, demands, transformation, transport.
Predictive Layer Crystal & Genius Finance platform can automatically correlate the different influences of these variables to predict the future evolutions of these investment vehicles.


Financial & Insurance transaction process
By learning automatically from the historical transactions and executed processes to serve customers,

The machine learning platform can automatically anticipate:

  • Potential fraud on transaction
  • Potential impact of process evolution on customer delivery costs & speed

Customer Relationship Management

As financial services and insurance companies develop their customer relationships.

New services and new products could be of great value to the customers during their life time.
Predictive layer Crystal & Quartz platform can automatically profile the customers, predict the evolution of their requirement over time.
So that specific target offering can be made to the each segment.

  • Its increases revenue by upsell and crossell, it reduce marketing and sales costs to target the right future customers
  • It increases the customer satisfaction by delivering a focused dedicated services (without over communications)
Financial services

Telecom operators and service providers are serving multiple segments of customers
with always more complete bundle of services.

Telecom

It includes mobile communications, but also multimedia and entertainment services and more and more internet applications.
The same users are also simultaneously customers under different contexts: with their enterprise, as personal or family member, as a traveller.
Moreover, the telecom market is also maturing and consolidating in every regions with a fast growing competition.

Telecom operator have been in a unique position to collect many big data on each of their customers.

Predictive Layer Crystal & Quartz machine learning platform are unique instrument to learn automatically from these core big data.
  They identify and predict the future behaviors of the users as well as their main motivation factor for such behaviors.


Without being a mathematician expert, the telecom operator marketing & customer service department can profile, identify and predict next behaviors:

  • Churn intent
  • Interest in new products
  • Required capacity to allow an SLA delivery

By using Predictive Layer the telecom operator business specialist can take immediate action plan on prescriptive prediction to target and reach the customer at risk, motivate them to decrease their churn, propose new services and provision the right capacity to serve them with quality without over investments.

Freight & Logistics has never been more critical for product business

Freight

With a market becoming more and more global, being able to produce and ship to all distribution in due time is key to not miss any customer opportunity.
Meanwhile, warehouse inventories and transport time are major costs and source of depreciation if not efficiently managed.
Even more if the product are perishable, it has become essential to balance permanently between demand, supply and logistics timing & costs.
With global demand, the seasonality and the cyclicality of market demand is exacerbated and is very complex to predict and plan.
 Nonetheless, it is now possible to anticipate major seasonal events, calendar of activities in each region, weather, both local, regional and national.


Demand / Supply forecasting

Forecasting short term demand in each region is key to be able to plan efficient supply, minimize inventories while leveraging the most affordable but reliable freight means.
Predictive Layer Crystal platform will process the available product big data and exogenous data to assess and forecast short term evolution of the product demand.
Even in a context of a wide product portfolio, by using industry open data, but learning from the historical records, Crystal allows product managers, logistics team and management to automate accurate predictions of the different volume and value of products in all their regions.


Freight & Transport Optimization

All market player compete for the same resources of transport & freight.
With the seasonality exacerbation, during high demand time, the transport capacities are missing.
Better planning of market demand and supply is allowing a better control, but competitive industry sectors are often unpredictable to another industry.

Predictive Layer Genius platform is accessing and processing the market data of the different industries, the transport resources capacities and availabilities, in order to build short term forecast of the transport & freight activities.
Genius Finance allows the product and distribution companies to forecast and eventually hedge their transport activities.

Transports

More

Your business also would be under great control and value creation if you had the capability to correlate and predict directly some of your key business indicators with some of your Big Data and/or some public / Open data new sources.

  • Without deploying significant mathematician expertise, while accessing to the best innovative machine learning algorithms
  • With the option to deploy in a cloud based services and/or in your data center or private cloud
  • Predictive Layer has a predictive analytics solution for you
Energy

Please let us know about the business problem that you would like to predict...
And we shall put a model in place for your optimized usage.


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