Customer success

How BD Rowa reduces the downtimes of order picking systems

Dr. Dorothee Gösswein
Project Manager, BD Rowa

Reliable customer service and continuous improvement are our top priorities. ORAYLIS quickly and efficiently managed to build a digital cloud-based platform providing us with the data from our machines in near real time while ensuring high security standards.

This solution enables our service team to immediately react to technical problems and to proactively prevent malfunctions. It helps us to reduce the downtime of our machines even further, resulting in higher availability our clients can benefit from. We are therefore glad to be able to count on the ORAYLIS team’s support in the future, turning our visions into success.

At a glance

  • Client: BD Rowa Germany GmbH
  • Sector: Industry/order picking systems for pharmaceuticals
  • Project goal: Providing real-time analyses of machine data in applications for service and customers
  • Technologies: Microsoft Azure IoT, Databricks Power BI Embedded

Becton Dickinson Rowa Germany GmbH (BD Rowa) is one of the world’s leading manufacturers of order picking systems for pharmacies, hospitals and pharmaceutical wholesalers. The complex systems of the company based in the small community of Kelberg in Rhineland-Palatinate support healthcare facilities in 53 countries to efficiently store and manage the supply of pharmaceuticals. In this context, smooth service processes are indispensable. Any downtime of the costumer’s systems would lead to bottlenecks in the supply of medicine to patients.

“Since we are a part of the health care system, our work is based on speed, efficiency and safety. This is why offering reliable customer service for our complex systems is of great importance. At the same time, we continuously strive to improve,” Dr Dorothée Gößwein, Project Manager at BD Rowa, says. “Digitalisation and the use of real-time data open up completely new opportunities for us. Just like we wanted to improve our products, we also wanted to be able to have more time for our customers, while technology takes care of the other tasks automatically.”

BD Rowa Automaten - So senkt BD Rowa die Stillstandszeiten von Kommissioniersystemen

Agile methods guarantee reliability

The set goals were clear, but how could the plan be put into practice – especially in terms of technology? As Dr. Dorothée Gößwein explains, “For such a complex project, you need the right partner on your side. The solutions proposed by ORAYLIS immediately convinced us that they would be the best partner for us to implement this project. The team had a clear idea of what our solution should look like. At the same time, the agile working method of our partner always assured us that we were on the right track.”

Data delivered in real-time

ORAYLIS built a state-of-the-art digital platform in the Microsoft Azure Cloud. Previously, machine data was collected on hardware servers in a lengthy process and could only be processed or forwarded at fixed times. The platform now enables a centralised data collection from all customer plants and makes it available in near real time. This applies not only to basic information, error messages or temperature data that the cooling units of the plants continuously send; even extensive videos generated by cameras inside the machines are available immediately. For this purpose, highest security standards in the transfer of data were indispensable.

Avoid malfunctions before they occur

BD Rowa’s support staff can now quickly and efficiently access all of the relevant information via a user-friendly web application. “This enables us to proactively support our customers,” Dr Dorothée Gößwein says enthusiastically. A return channel in the cloud solution even makes it possible to carry out necessary work remotely. Likewise, enquiries to the hotline can be processed with the constantly updated app data without lengthy waiting periods. In addition, the database allows forecast scenarios that can be used to avoid malfunctions in the systems before they occur. “All of these new possibilities help us to further reduce the already low downtimes of our plants, so that our customers can benefit from even higher availability.”

In the future, the cloud approach in Azure will make it possible to flexibly add more and more attractive functions and digital services. For example, BD Rowa’s next step is to use its existing data for an application that allows customers to independently gain valuable insights into the performance of their machines. “Therefore we are very pleased that the ORAYLIS team will continue to support us in our future plans as a guarantee for success ,” concludes Dr Dorothée Gößwein.


turn your data into value.

At a glance

  • Client: BD Rowa Germany GmbH
  • Sector: Industry/order picking systems for pharmaceuticals
  • Project goal: Providing real-time analyses of machine data in applications for service and customers
  • Technologies: Microsoft Azure IoT, Databricks Power BI Embedded
Dirk Ohligschläger
turn your data into value

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Customer success

Digital transformation: evm turns its data into value

Mona Meyer
Division Manager Sales Control and Sales Strategy, Energieversorgung Mittelrhein AG

Before we started working with ORAYLIS, we could only derive business value from our data at great expense. Since the data was stored in many different systems, there was a need for merging the information into one “numerical truth”.

Thanks to their structured and agile approach, the experts at ORAYLIS were able to quickly develop a Modern Data Warehouse in the cloud. We now have a uniform data basis for our business issues – a solid foundation we can build on together. Without external support, such a complex project could have never been realised successfully.

At a glance

  • Client: Energieversorgung Mittelrhein AG
  • Industry: Energy
  • Project objective: Merging the company’s data for new use cases and to create uniform KPIs
  • Technologies: Azure Data Factory, Data Lake Storage, Databricks, Power BI

Energieversorgung Mittelrhein (evm) is the largest municipal energy and service company in Rhineland-Palatinate. Approximately 1,000 employees ensure the supply of green electricity, natural gas, heat and drinking water to a total of 340,000 costumers. Naturally, a large amount of data has always been generated in the daily business – valuable information that, for example, could have been used for creating customer potentials. However, due to the inconsistency of the system at that time, this opportunity went unused: “Our data was available in different individual solutions, some of which were not directly linked,” Mona Meyer, Division Manager Sales Control and Sales Strategy at evm, says. Accordingly, employees in the specialist departments often had to create their queries manually, which cost a lot of time. Quick ad-hoc analyses were also very difficult to carry out.

Reliable decisions were difficult to make

“Above all, however, we had no uniform results and key figures due to the various individual solutions,” Mona Meyer explains. This basis did not allow for reliable decision-making, for example on the distribution of budgets or investments in business and product areas. There was an urgent need for merging the information into one ‘numerical truth’.” A task that initially seemed like an insurmountable hurdle to those responsible: “Given the high level of complexity, the number of people involved and the numerous data sources, we seriously had to ask ourselves: Can this even work?”

An agile approach reduces complexity

The problem was solved by working together with ORAYLIS. “Thanks to the structured and agile approach of our new partner, we were able to quickly get an overview of our initial situation and the next steps,” Mona Meyer says. From day one, the project management team set the right course and involved the appropriate employees in the process. The team quickly worked its way into both the complex structure of the source data and the at times complex technical content. “As the project progressed, the ORAYLIS team was keeping track of everything. Among other things, regular success check-ins and coordination led the project to success in a targeted manner.”

Modern Data Warehouse enables valid decision-making

After only a short period of time, evm had a modern Data Warehouse in the Microsoft Azure Cloud. As a “single point of truth”, the solution collects all data on one platform and finally delivers the desired, consistent key figures. On this basis, the management can now make valid decisions regarding urgent business issues. At the same time, cross-divisional analyses are considerably simplified for employees in controlling, marketing, customer service and sales.

Likewise, the manual effort for standard reports has been eliminated, as these are now provided automatically via Power BI. This saves a lot of time and resources in the process of compiling relevant information. Employees can concentrate on their core tasks. “This is only the beginning of what can and needs to be done. Both our database and our reporting system must now be developed continuously. The expandable cloud approach in Azure and the new platform offer the best conditions for this development. There is one thing that we have learned during this process: For projects like this, it is key to have an experienced partner on your side. We would have never been able to realise our visions successfully with internal resources alone. ORAYLIS provided us with excellent support,” Uwe Worch, head of IT at evm, says.

turn your data into value.

At a glance

  • Client: Energieversorgung Mittelrhein AG
  • Industry: Energy
  • Project objective: Merging the company’s data for new use cases and to create uniform KPIs
  • Technologies: Azure Data Factory, Data Lake Storage, Databricks, Power BI
Dirk Ohligschläger
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Customer success

GermanPersonnel: Digital transformation with new customer services

Christian Oberstädt
Manager Data & Product Strategy, GermanPersonnel

We can now deliver far more quality candidates to our clients for their existing budgets. Thanks to the automated recommendations and success forecasts of our software, ads can be created and distributed much more precisely. And the personal advice provided by our staff has also gained considerably in quality thanks to data-driven standardisations. With this offer we have a real USP that clearly sets us apart from the competition in the e-recruiting market. ORAYLIS has triggered many innovations for us. Together, we are an outstanding team from which much more can be expected in the future.

At a glance

  • Client: GermanPersonnel e-search GmbH
  • Industry: Personnel services
  • Project objective: Establishment of a uniform database and development of innovative recruiting services
  • Technologies: Azure Data Lake, Microsoft SQL Server, Databricks, Power BI Embedded

GermanPersonnel is one of the leading providers of software and services for employee search on the internet in Germany. The company cooperates with Germany’s largest personnel service providers and job portals. With the products of the e-recruiting experts, customers can design their job advertisements and place them on job boards as well as manage applications. In this way, the company has gained special unique selling points on the market. At the same time, it was clear to those responsible that they would not be able to stand out from the growing competition in the long term with this range of services.

Potential in the data was not utilised

“In fact, until then we had only used the extensive data from the recruiting processes selectively, for example for the further development of business processes, products and algorithms for intelligent channel selection,” explains Christian Oberstädt, Manager Data & Product Strategy at GermanPersonnel. “In addition to data, our expertise and a pinch of gut feeling still flowed into our decision-making processes. There was still a lot of potential hidden there.” Therefore, a conscious decision was made to change to a data-driven company. New goals were formulated, such as automatic recommendations when creating job advertisements and predictions about the expected number of applicants. In addition, data should also be used internally by all employees, for example through comprehensive reporting.

Consistent database for reliable evaluations

In order to tackle the ambitious plans in a targeted manner, ORAYLIS was brought in as a partner and guide. An initial status quo analysis revealed that although GermanPersonnel had extensive data, it was not suitable for the desired comprehensive evaluations due to a lack of structure. Therefore, all data from the recruiting processes and other data sources were first brought together in a structured way in a Data Warehouse in the Microsoft Azure Cloud. The preparation of the data for further analysis processes is automated and updated on a daily basis. Thanks to the cloud approach, the solution can grow flexibly depending on the volume of data and the number of customers and key figures.

Michael Althaus ORAYLIS Projekt GermanPersonnel

However, innovations such as predicting clicks and applicant numbers could not have been implemented on this basis alone. “For such requirements, exact information on the entire candidate journey is needed,” explains Michael Althaus, project manager at ORAYLIS. Therefore, a special tracking tool is used. “The tool continuously collects anonymised, event-driven web data from almost 180,000 job ads, with data sovereignty remaining with GermanPersonnel.”

Customers save time and money

Christian Oberstädt, Manager Data & Product sums up the added value of the intelligent, data-based recruiting solution: “Today, we can provide our clients with significantly more high-quality candidates for their existing budgets. Thanks to the automated recommendations and success forecasts of our software, advertisements can be created much more precisely and distributed to the mass of recruiting channels. And the personal advice provided by our staff has also improved considerably thanks to data-driven standardisations.”

Finally, the daily updated statistics enable a targeted control of the ads already placed. At the same time, successes become transparent and measurable. Last but not least, the user saves a great deal of time through a clear and structured management of his job advertisements and applicants.

New service is a USP on the market

GermanPersonnel also benefits directly from the solution. “With this offer, we have a real USP that clearly sets us apart from the competition in the market for e-recruiting,” says Christian Oberstädt. In addition, the company has been able to define economically sensible packages for ad placements thanks to the new analysis options. The more valid planning basis ensures noticeable savings when purchasing traffic and clicks from the relevant job boards. Meanwhile, the fast-growing company is preventing staff shortages in-house by automating processes.

Overall, the digitalisation of all processes leads to significantly higher efficiency and more reliable decisions. Together with ORAYLIS, the company has completed the transformation to a Data Driven Company, and according to Christian Oberstädt, this development is far from complete: “ORAYLIS has triggered many innovations for us. Together, we are an outstanding team from which we can expect a lot more in the future.”


turn your data into value.

At a glance

  • Client: GermanPersonnel e-search GmbH
  • Industry: Personnel services
  • Project objective: Establishment of a uniform database and development of innovative recruiting services
  • Technologies: Azure Data Lake, Microsoft SQL Server, Databricks, Power BI Embedded
Jens Kröhnert
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Customer success

WMF upgrades commercial coffee machines with real-time services

At a glance

  • Machine data is analysed in real-time and used for innovative customer services
  • Individual apps provide massive savings in time and effort for the various target groups
  • Product manufacturer transforms into holistic solution provider

The business situation of our client

There are countless opportunities in your data to improve your business and make your customers more satisfied – not only in the form of process optimisations and better decisions. Rather, you can create completely new customer experiences with innovative products and digital business models and thereby stand out from your competitors.

Just like our client WMF – the world’s leading manufacturer of commercial coffee machines faced these challenges, among others:

  • Low growth opportunities due to market saturation.
  • Competing products of similar performance and quality
  • Costly service business with regard to required spare parts
  • Data management in heterogeneous system landscape
  • Service instructions mostly in German language

As a result, together with those responsible, we have expanded the company’s products with data-driven applications that significantly facilitate the daily work of the core target groups – specifically: facility managers, food chain managers and service technicians. WMF is thus developing more and more from a pure product manufacturer to a provider of digital services.

WMF Group: Digitale Echtzeitservices für Profi-Kaffeemaschinen 

The solution for our client

In order to achieve the set goals, we have networked all active customer machines with the services of the Microsoft Azure Cloud via the Internet of Things. The central component here is a digital cloud platform. Here, the status data generated by the machines is collected, processed and made available for the various application scenarios. There is also a feedback channel through which the user can send commands to the machines.

In addition, we have connected the company network to the platform and with it other data sources, such as CRM, ERP, telemetry database and media pool. As a result, the platform also functions as a knowledge database that bundles comprehensive information and problem solutions for WMF employees and customers. In this context, existing text documents are automatically extracted and translated into different languages.

Finally, a real-time analysis of the machine data enables very different digital innovations. We provide these as user-friendly apps in a modern UX design. The applications can be seamlessly integrated into other business applications via a standardised interface, so that the user can work with them comfortably in his familiar environment. Meanwhile, WMF’s specialist departments and analysts receive interactive reports for more in-depth analyses.

How data turns into new values

As it turns out, it is not that difficult to make analogue products “intelligent” with cloud services and the Internet of Things. The resulting applications make the work of the various customer groups easier, above all through massive savings in time and effort:

Service technician

  • App provides detailed instructions for fault analysis and rectification
  • Immediate ordering of spare parts on site saves further effort

Food Chain Manager

  • Performance of branches and machines can be evaluated and controlled in real time
  • Necessary measures – for example with regard to capacity utilisation and quality – can be initiated directly
  • Example: New recipes or promotions can be sent directly to the displays of the machines in the shops

Facility Manager

  • App informs which machines in the building require action – for example, to refill coffee beans.
  • In the event of problems and defects, information is also provided for diagnosis and solution.


turn your data into value.

At a glance

  • Machine data is analysed in real-time and used for innovative customer services
  • Individual apps provide massive savings in time and effort for the various target groups
  • Product manufacturer transforms into holistic solution provider
Jens Kröhnert
turn your data into value

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Customer success

How innogy is preparing for the future with a digital platform

At a glance

  • Data Analytics system in the Azure cloud enables flexible growth
  • All user groups can work with data and generate new values
  • Data from SAP BW can be seamlessly integrated into analyses

The business situation of our client

In many companies, long-standing analytics systems are increasingly reaching their limits. They can no longer cope with the constantly growing number of users and data – and with them the ever increasing demands on data analysis. As a result, a great deal of potential for business remains unused.

The energy supplier innogy also found itself in this situation and turned to us for help. The company needed a future-proof platform that met the following requirements:

  • New data sources can be connected quickly and easily
  • Data can be made available to the largest possible group of users
  • Grow flexibly as new requirements arise
  • Data-driven innovations can be implemented easily
  • The efficiency of company-wide data analysis is increased

A particular challenge was to integrate an existing SAP BW on Hana into the solution. Above all, this data should later be seamlessly available across the entire system.

innogy Projektbericht ORAYLIS

The solution for our client

Due to the high demands on flexibility and future-proofing, we built innogy’s new data analytics platform in the Microsoft Azure Cloud. Our platform consists of a data warehouse with classic layer architecture as well as a Data Lake to which new data sources can be quickly connected and used by defined user groups. This means that data from SAP BW can also be accepted, processed and made available very easily.

The Microsoft services Power BI and Excel are primarily available as analysis tools. However, third-party tools can also be used if required. In this way, the needs of all user groups can be covered. It is possible to automatically provide business users with interactive standard reports as well as to give data scientists and business analysts the necessary freedom for ad-hoc analyses. Comprehensive authorisation concepts regulate access to the data.

How data turns into new value

With the new cloud platform, innogy is now optimally positioned for the future in the value-oriented use of its data:

  • The platform can grow flexibly with new requirements at any time
  • Data scientists, business analysts and specialist users can all create new value from data in equal measure
  • Data is quickly and easily available to business departments for analytical purposes
  • Staff can concentrate on the core tasks of value-oriented data analysis
  • Efficiency has increased while costs have decreased
  • The protection of sensitive data is fully ensured


turn your data into value.

At a glance

  • Data Analytics system in the Azure cloud enables flexible growth
  • All user groups can work with data and generate new values
  • Data from SAP BW can be seamlessly integrated into analyses
Jens Kröhnert
turn your data into value

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Customer success

Digital platform gives mobile provider a competitive edge

At a glance

  • Central, digital platform brings together all data with maximum depth of detail
  • Those responsible receive a comprehensive view of all relevant business processes
  • Various departments use data to create new value for the company, customers and employees

The business situation of our client

Like all mobile phone providers, one of our clients was struggling with massive competition and cost pressure in the industry. At the same time, the company’s extensive data hid a wide range of potentials to differentiate itself from the competition and to complete the digital transformation. However, due to a proliferation of different analytical solutions and data silos in the individual departments, these remained largely unused:

  • Fragmented data – for example on purchase history, reaction to campaigns or behaviour on the web – made an overarching view of the customer impossible.
  • Due to a lack of data quality, depth of detail and possibilities for linking, it was not possible to carry out multi-value analyses on customers, products, branches, supply chains or financial flows.
  • Due to the lack of a single point of truth, no consistent business metrics were available as a basis for key decisions.
  • Issuing different front-ends drove up operating costs.

Therefore, it was necessary to consolidate all data with maximum detail on a central, digital platform and make it available for different use cases and analyses of the individual departments. A uniform self-service solution for all areas was to support this objective. Similarly, reporting for management and operational processes had to be standardised across departments. Last but not least, real-time data was to be made usable for the business.

The solution for our client

Our client’s integrated platform is to be understood as a Modern Data Warehouse. As usual, we exclusively used Microsoft technologies. The development included the following steps:

 

  1. Formation of a BI Competence Centre in Controlling
  2. Data modelling: We network all data on the platform in maximum detail. The flexible data model enables rapid adaptation to market changes.
  3. Data integration: All departments and their data are integrated step by step.
  4. Near-real-time: Based on a Lambda architecture, we enable the processing of real-time data in all required processes.
  5. Self-service: Business users receive easy-to-use self-service tools (Excel, Power BI). The self-explanatory data model also allows simple data management activities.
  6. Ad-hoc analysis: Business users have the option of carrying out free analyses in the data rooms provided.
  7. Data governance: The solution is legally approved by data protection officers.

 

How data turns into new values

Our client now has a comprehensive view of all relevant business processes. The different departments can use all data for their respective use cases to optimise the business and create new values that benefit the company, its customers as well as its own employees:

  • Need-based customer targeting: customers are addressed with the appropriate products at the right time on the preferred channel.
  • New products: Fine segmentation enables innovative offers and quick adaptation to market trends.
  • Reliable contribution margins: Sales of contracts can already be forecast when the contract is signed.
  • Mobile sales management: Reports and dashboards can be accessed on all conceivable devices.
  • Transparent dealer management: Advertising cost subsidies, sales promotions and commissions are clearly displayed.
  • Detailed advertising success control: The success of advertising measures on the web can be evaluated in detail, right down to the contribution margin achieved per customer.
  • Fraud detection: Within a few months, irregularities were uncovered that would have caused losses in the millions.
  • Churn management: Customers who are willing to switch are identified at an early stage and addressed with individual marketing measures.


turn your data into value.

At a glance

  • Central, digital platform brings together all data with maximum depth of detail
  • Those responsible receive a comprehensive view of all relevant business processes
  • Various departments use data to create new value for the company, customers and employees
Jens Kröhnert
turn your data into value

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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

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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
Dirk Ohligschläger
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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

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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

Shape the world
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