Customer success

Mobile providers: How to inspire your customers with tailor-made offers

At a glance

  • Digital “Interaction Advisor” supports staff in sales talks
  • System automatically delivers action guidelines and individual product suggestions
  • Tailor-made offers inspire customers and optimise contribution margins

The business situation of our client

Mobile phone providers are faced with a dichotomy: on the one hand, individual contracts must generate the highest possible contribution margin. On the other hand, it is important to inspire consumers with tailor-made offers and to retain them in the long term. The example of one of our clients shows how these seemingly contradictory requirements can be effectively combined with the targeted use of data. Using Microsoft technologies, we have built a system that automatically defines offers based on comprehensive customer and tariff information, from which both the company and its customers benefit equally.

The solution for our client

Our solution is a so-called Interaction Advisor in the contact mask of the company-wide CRM. It provides the hotline and shop agents in direct customer contact with all important information about the respective purchase history and the current contract value. At the same time, the salesperson receives a guide to action as well as a selection of individual product and solution proposals with exact contribution margin forecasts. The system makes use of hundreds of predefined tariff and option combinations. Likewise, possible negotiation margins as well as the agent’s reward for successful contract conclusions or extensions are taken into account.

How data turns into new values

The information provided enables the salesperson to advise the customer much better and to respond to his or her individual needs with tailor-made offers. The customer feels personally addressed and in good hands with the provider. Thus, the new system contributes to higher customer satisfaction and customer loyalty. At the same time, the solution makes an effective contribution to churn management. And finally, the company benefits from optimised contribution margins.


turn your data into value.

At a glance

  • Digital “Interaction Advisor” supports staff in sales talks
  • System automatically delivers action guidelines and individual product suggestions
  • Tailor-made offers inspire customers and optimise contribution margins
Jens Kröhnert
turn your data into value

Let’s get started!

Would you also like to inspire your customers with tailor-made offers from which you as a company derive the greatest possible benefit?

Join #teamoraylispeople

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of data with us

Customer success

How a baker uses data to reduce returns from branches and increase sales

At a glance

  • Digital platform makes all data from operational business available for the first time
  • Real-time analyses enable fast and flexible reactions in day-to-day business
  • Customer satisfaction and sales increase while the return rate decreases

The business situation of our client

The efficient use of data offers bakery chains the opportunity to improve their business processes and service to the consumer in many ways. This is illustrated by the example of a medium-sized bakery business that is one of our clients. The company has set itself the goal of having a complete and fresh range of goods available at all times of the day in its 30 or so branches. At the same time, the return rate should be as low as possible.

In order to ensure the ongoing balancing act between an oversupply and an undersupply of the individual branches, enormous amounts of data are available, for example from checkout processes and logistics. However, our client lacked:

  • a central platform to bring all the data together and enable consistent reports and insights across all business units
  • suitable tools that enable users from the specialist departments to carry out their own targeted analyses
  • Real-time data that allows fast and flexible reactions in day-to-day business.

The solution for our client

To enable our client to effectively transform its data into value for its business, we first built a central database based on Microsoft technologies. Here, all data from the operative business is processed and merged almost in real time. This includes not only receipt and delivery data, but also information on stocks, returns, orders, production, personnel, energy consumption and the weather. The bottom line is that the entire process from production to sales is mapped.

All company departments – whether sales, controlling, production or office work – have access to this integrated data platform. For evaluation, the various user groups have access to suitable analysis tools, such as Power BI, Excel or Reporting Services. In this way, all employees can carry out individual ad-hoc-analyses on the desired data quickly and easily. Standard reports on the relevant key figures are delivered automatically. We have optimised the design of the reporting system with a uniform information design according to IBCS specifications.

How data turns into new values

Through the ongoing analysis of daily updated sales data, our client has achieved its goals:

  • Staff can identify any bottlenecks or surpluses at an early stage
  • Missing goods can be delivered or transferred immediately.
  • Consumers can choose from the full range of products at any time and in any shop
  • Customers are more satisfied and can be retained for longer periods of time
  • Sales potential is optimally unlocked, so that turnover increases
  • The returns rate has been noticeably reduced

In addition, the company benefits from fraud analyses that effectively uncover irregularities in the checkout systems. Last but not least, the diverse analysis options of sales data, buying behaviour, shop development as well as production and delivery quantities provide different departments with a much more well-founded basis for planning. In the process, users no longer have to invest time in data procurement and preparation, as the relevant information is centrally available and easily accessible. Similarly, the automation of processes saves manual effort in many places.


turn your data into value.

At a glance

  • Digital platform makes all data from operational business available for the first time
  • Real-time analyses enable fast and flexible reactions in day-to-day business
  • Customer satisfaction and sales increase while the return rate decreases
Hans Klüser
turn your data into value

Let’s get started!

Do you also want to make better use of the potential in your data to unlock new value for your business, your customers and your employees?

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of data with us

Customer success

Predictive maintenance: machine builder inspires customers with AI-based forecasts

At a glance

  • Packaging equipment manufacturer enhances its products with data-based services
  • AI-supported forecasts reliably predict machine downtimes and defects
  • Efficiency gains range from warehousing to overall productivity

The business situation of our client

In global competition, efficient production processes are a decisive factor for success. Against this backdrop, digitalisation offers manufacturers of machines and production lines many opportunities to inspire their customers with data-based services from the field of Artificial Intelligence (AI). For example, we implemented prognosis scenarios for predictive maintenance for a globally operating machine manufacturer, which significantly increase the efficiency of the manufactured plants.

The objective of our client was to:

  • Prevent machine downtimes
  • To exclude machine damage
  • Minimise downtimes
  • Identify typical malfunctions
  • Optimise maintenance intervals
  • Improve productivity

The solution for our client

The starting point for our data-based forecasting services is historical as well as current machine data. On this basis, a prognosis model is set up and continuously improved:

  1. We continuously collect the sensor data of the machines
  2. We supplement current measured values with quality-assured master data
  3. We generate diagnostic data on machine problems
  4. We train a machine learning model on the basis of the diagnostic data.
  5. We continuously compare our optimisation algorithms with real-time data.

How data turns into new values

By using our AI-based prognosis model, the machine operators can specifically prevent possible malfunctions and defects. The availability of the machines in operation has improved significantly as a result. But our customer also benefits from the optimisations at its customers: Testing costs and costly recall campaigns are avoided, and warranty costs are significantly reduced. At the same time, customer satisfaction and loyalty have increased.

The improvements for all involved in concrete figures:

  • Machine defects and failures are detected 75% proactively
  • Downtimes have been reduced by 50 to 80%.
  • Maintenance costs have been reduced by 50 to 80%
  • Warranty costs have been reduced by over 50%
  • Inventory costs reduced by 20 to 30%
  • Overtime costs reduced by 20 to 50%.
  • Overall productivity increased by 20 to 30%.


turn your data into value.

At a glance

  • Packaging equipment manufacturer enhances its products with data-based services
  • AI-supported forecasts reliably predict machine downtimes and defects
  • Efficiency gains range from warehousing to overall productivity
Jens Kröhnert
turn your data into value

Let’s get started!

Do you also want to use your data to sustainably increase the efficiency of your products and to bind your customers with data-based services?

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of data with us

Customer success

Digital transformation in heating technology: How to predict malfunctions and reduce consumption costs

At a glance

  • Cloud solution enables continuous monitoring of heating data
  • Forecast scenarios ensure more reliable operation and fewer failures
  • Intelligent heating control reduces costs for the consumer

The business situation of our client

An internationally leading manufacturer of heating systems demonstrates what is possible when data is used consistently. As direct customers of the manufacturer, heating engineers have always been able to act only reactively. System defects could only be detected when they occurred. And the necessary spare parts were usually not readily available, which meant a lot of work for the fitter and cold nights for the heating user.

Together with ORAYLIS, those responsible now wanted to tackle the digital transformation of the company and create new values on different levels through continuous monitoring of the extensive heating data. On the one hand, the objective was to enable the heating engineer to take anticipatory measures and optimise maintenance intervals. On the other hand, it was necessary to improve the settings of the heating system and to reduce consumption costs.

The solution for our client

The core of our solution is a flexibly scalable platform in the Microsoft Azure Cloud. A long-term hardware solution in the company’s own data centre would hardly have been calculable due to the high data volume. On the cloud platform, the continuous stream of operating, configuration and status data of the heating systems is collected and compared with existing system data. The findings are first displayed in a real-time dashboard so that the manufacturer can immediately detect irregularities and proactively intervene. At the same time, typical consumption patterns are identified, such as for the use of hot water or the heating system as such. On this basis, activity and rest phases of the systems can be intelligently controlled. Last but not least, we train forecast models with the current and historical data. These not only make increasingly reliable statements about the expected consumption. Likewise, forecasts on malfunctions and individual wear parts, including recommendations for action, are automatically delivered to the service technician’s mobile phone.

How data turns into value

Everyone involved benefits from the many possibilities opened up by our cloud solution:

Consumers

  • The data-based, automated control of the systems saves up to 20 percent in costs.
  • Continuous monitoring of the heating data ensures reliable system operation

Installer

  • Positioning as a modern service provider that ensures smooth operation
  • Massive savings in time and effort through intelligent supply chains

Manufacturer

  • Positioning as a technological innovation driver and industry pioneer in the heating business
  • Installers and consumers increasingly opt for the manufacturer’s products and remain loyal to them


turn your data into value.

At a glance

  • Cloud solution enables continuous monitoring of heating data
  • Forecast scenarios ensure more reliable operation and fewer failures
  • Intelligent heating control reduces costs for the consumer
Jens Kröhnert
turn your data into value

Let’s get started!

Do you also want to seize the opportunities of digitalisation and stand out from your competitors with data-driven services?

Join #teamoraylispeople

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of data with us

Customer success

Bakery makes reliable forecasts with anonymous customer data

At a glance

  • AI-supported churn model based solely on anonymised data on purchasing behaviour
  • Controlling can reliably predict customer churn
  • Solution could be built quickly and economically with Azure Cloud services

The business situation of our client

In order to use Artificial Intelligence (AI) to make reliable predictions about the behaviour of your customers, you don’t necessarily need vast amounts of data. Even medium-sized companies with relatively manageable data sets can tap into these exciting possibilities of digitalisation. This is illustrated by our approach to a large German bakery: the company works with anonymous customer cards that primarily offer discount benefits. In fact, the 350,000 active cards are used for about 60 per cent of all purchases. Based on this data on purchasing behaviour alone, we have now trained a so-called churn model that recognises potential customer churn at an early stage makes reliable forecasts.

The solution for our client

To build our AI-supported forecasting model, we first defined the typical “churn”: Customers who have bought from the bakery chain for three months and then not for three months. The model was then trained with this specification and the purchase history from the customer cards.

Our procedure at a glance:

  • We train a model with the Advanced Analytics component of SQL Server in the Azure cloud.
  • Over a longer period of time, we compare the analyses of the model with the purchasing behaviour of the customers.
  • We transfer the analysis results into the existing Business Intelligence system.
  • We make the results available to the controlling department via a self-service application.
  • We continuously refine the classification by means of new data.

How data turns into new values

The solution structure described above makes reliable forecasts of customer behaviour possible in an economical way.

The advantages at a glance:

  • Controlling can reliably predict customer churn tendencies.
  • The analysis of individual customers enables individual marketing measures, e.g. special vouchers.
  • Even small changes in buying behaviour are recognised at an early stage so that quick countermeasures can be taken.
  • Expected sales losses due to cancellations can be analysed by region, branch and time period.
  • Higher-level developments can also be recognised, such as when competition increasingly penetrates a specific region.
  • By using cloud components, the solution can be set up and expanded quickly and cost-effectively.


turn your data into value.

At a glance

  • AI-supported churn model based solely on anonymised data on purchasing behaviour
  • Controlling can reliably predict customer churn
  • Solution could be built quickly and economically with Azure Cloud services
Jens Kröhnert
turn your data into value

Let’s get started!

Do you want to know today what your customers will want tomorrow?

Join #teamoraylispeople

Shape the world
of data with us