Challenges

Our Partners accepted the innovative approach to business of the future. They are opening and inviting the community to help solve real business case by building cutting edge, innovative applications, through use of SAP Cloud Platform. Join one of the Partner challenges or send your own business idea, built on SCP!

Atlantic grupa

We want to digitally transform our delivery processes. Do you have an innovative solution that will provide value added to our customers?   

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Eurocash

Data presentation matters. That’s why we need intuitive, graphical and easy-to-consume dashboards for our managers and board members.

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Goodai

With the revised Payment Service Directive on the horizon, banking institutions are increasingly eager to take action. Take the action with us!

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Sportina

Innovating the in-store shopping interaction and creating new customer engagement models.

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Selgros

Addressing customers and their specific needs in a personalized way and bringing them specialised product assortments.

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Your own idea

If you have your own business idea, focusing on specific business need, build a MVP on SAP Cloud Platform and submit your idea.

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About Atlantic grupa

Atlantic Grupa is one of the leading food companies in the region with well-known regional brands that, along with a range of external partners, supports its strong distribution system in the markets in the region. Atlantic Grupa products have a significant presence in Russia, the CIS countries and Western Europe, and with the assorted sports nutrition, Atlantic is the leading European company in this segment.

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Challenge description

Atlantic’s distribution companies compete in difficult markets with relatively low margins. Every increase in supply chain efficiency significantly affects the bottom line. Further on, innovations in customer service allow us to remain the market leader and differentiate among other FMCG distributors of similar profile.

Our business case is the digital transformation of our delivery processes. To achieve this, we are trying to address several challenges:

  • External availability of order status information to our customers during order processing
  • Complete visibility of order delivery status once goods are loaded to the truck, available both internally and externally, to our customers
  • Possibility to complete delivery information (e.g. e-signature for the dispatch note) or initiate customer complaints directly in the field

WHY is this business case important for us?

The expected business benefits are:

  • Differentiation in customer service – we aim to provide added value to our customers, innovative solutions like this will enable them to plan their resources more efficiently

HOW can you address the challenge?

The solution should provide two main components, according to challenges specified in Challenge description chapter of this document.

General remark: for the proof-of-concept application, all requested ERP integration features should initially be provided through simple export in some database table.

COMPONENT 1 - ORDER TRACKING

  • Orders enter the ERP system from 3 different channels – EDI, mobile sales and manual entry. Once in the ERP system, all orders behave the same
  • Once logged in to the portal/mobile app, customers should have access to current order processing status
  • Customer can choose to get email alerts when order status changes
  • Once order is dispatched from the warehouse (i.e. loaded to the truck) view becomes extended with information from the next component

COMPONENT 2 - DELIVERY STATUS

The main idea is to equip each truck and driver (for external partners) with a tablet application, linked to company’s ERP system, allowing real-time visibility of truck position, delivery status (both to Atlantic and customers) and integration of all in-the-field events back into company’s ERP system

Current process

Delivery driver gets a bunch of printed dispatch notes/invoices and delivers goods with those papers to customers

Information from the field is available only by calling the driver – we have no idea where is the truck, which deliveries are made, are there any problems, when is the truck expected at some location (customers call to ask when they will get the goods)

All information is handwritten on papers, which have to be physically returned to the warehouse in order to manually process them in the ERP system

These are some of the potential application features:
  • Getting all the data for deliveries from ERP or transport planning system – integration based on sample data should be provided
  • Planning today’s route – driver should simply follow the instructions
  • Real-time confirmation of delivery – when delivery is made customer can sign the dispatch on a tablet, this signed document can be returned directly to ERP for further processing (no need to wait for signed papers to return from the field)
  • Backward integration of all correctional documents into ERP system – any problems with deliveries can be reported in real-time
  • Mobile web and app for tracking status and current position of trucks – estimated time of arrival for customers location and truck visibility on the map
  • Option for customers to see which truck is delivering their order and what is current status of delivery
  • Collecting returns from the customer
  • Complete reporting and analysis capabilities

TECHNOLOGIES USED

  • All solution components should provide browser access with responsive design and a mobile app where necessary (especially for map view of the delivery truck)
  • Innovative use of IoT solutions on the trucks will be considered an advantage
  • All data gathered from the field should be gathered in a database and combined with other data sources (weather, traffic conditions etc.) to provide advanced analytics based on this big data. The inclusion of analytical model will be considered an advantage.

About Eurocash

Eurocash aspires to be the leading Food and FMCG distributor in Poland. Through the combination of our business know-how with the entrepreneurship of our clients and employees, we want to maximize our share in daily need products for the consumers in the countries where we operate.

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Challenge description

The main part is to prepare intuitive, graphical and easy to consume dashboards for Managers, and C-level employees. These dashboards should offer drill down functionality, based on the organizational structure of the company, so once a user drills down he / she can see data from different perspective. Any data presented should have this logic applied.

For example:

  • Operational KPI
  • Budget realization (%)
  • Projects realization (progress bars?)
  • Like to like
  • Cash Flow
  • Working Capital
  • Sales projections

Reports

E.g. Sales (total or per BU or SKU) from country level to regional levels, then to local level, and so on.

The second task, but also important part, would be including in these dashboards information from the day-to-day corporate life of an Eurocash employee. We include couple of possible examples, but you are not limited to these (we again count on your creativity):

  • information about the number of meeting rooms that are free/occupied at a certain moment
  • geofencing application that will be able to guide employees where to go (Eurocash has a pretty big office building)
  • notification about food sellers that are nearby the office
  • information about IT equipment auctions

These are just some examples that can be represented on the application. We would like to see your creativity and of course, how SAP Cloud Platform functionalities / prediction engines can be used. The dashboards should be available only to the C-level people, while second part of the dashboard should be available for everyone.

WHY is this business case important for us?

The solution will be used by all Eurocash employees and we hope this will increase their satisfaction and their effectiveness, regardless of their role. However, the solution will be role-specific, meaning that C-Level executives have access to more information, mainly company KPIs.

Here are the benefits that are important for the C-Level, but respectively for all Eurocash employees:

  • he solution will allow C-level executives to know in real time how the company is performing. They will be able to react quickly as they will have access to real-time data from their mobile devices.
  • All Eurocash employees will receive one source where they will be able to find useful information and services for their daily work experience.

HOW can you address the challenge?

First and foremost, we want the application to be as intuitive as possible. Thus, it is very important that the application is easy to use, it has meaningful colors and has a beautiful user interface. The Dashboards should offer notifications and here we count on the creativity of participants to suggest what would be the best way to alert important information via notifications. Since these are C-level dashboards, the users should understand the data quickly and they should be able to share this data easily or communicate with appropriate people associated with some KPI. We would also like to see the creative approach here.

Additional remarks

Dashboards should be available via a web portal or through mobile devices (iOS, Android). As Eurocash is operating in different countries, the application should be easily adjusted to any language.

About GoodAI

At GoodAI, our mission is to develop general artificial intelligence - as fast as possible - to help humanity and understand the universe. Our long-term goal is to build a software program that will automate cognitive processes in science, technology, business, and other fields. It will perceive stimuli in the same way that a human does – by seeing, feeling, interacting, and learning – and use this data to generate behavior, perform tasks, and respond to motivations given by human mentors. Our R&D team is building technology that won't be on the market for another 5-10 years. In the Applied team, we use the R&D know-how to maximize business success for companies and organizations across a range of industries. We analyze how AI can help your business, do the necessary research on your behalf, and implement practical solutions.

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Challenge description

With the revised Payment Service Directive (PSD2) on the horizon, banking institutions are increasingly eager to take action. We believe a Personal Finance Management (PFM) combined with our Chatbot platform is one of the opportunities. Nowadays, PFM can be used to trigger banking processes, to trigger a loan, to trigger a credit card subscription, to trigger a savings goal, to move some money apart. The system should be able to understand how you are moving your money and how you are spending it. The goal is to deliver know me, help me, monetize me user experience into today banking environment via contemporary communication channels. Understanding financial situation and offering a solution to educate and help clients to manage their money better. What if your bank could predict your movements based on your spending patterns, give you money management assistance, and help you save in the long term, all without you even noticing?

WHY is this business case important for us?

A bank could predict client’s movements based on spending patterns, giving money management assistance, and help them save in the long term. What was once a “nice-to-have” tool, PFM will become the essence of digital banking, enabling Financial Institutions to deliver personalized customer experiences and capitalize on benefits that range from new revenue streams to better branding.

HOW can you address the challenge?

The challenge is to cleanse, categorize, and aggregate all the transaction data that are sent to the account holders. First, Cleanse It Anyone familiar with transaction feeds knows that the raw data isn’t pretty. The feeds typically consist of a messy string of random-looking characters as shown below:

KAUFxx 04BRATISLAVA XXX726 XXX-XXX-1189 XXX027

Presenting uncleansed data to users, we would be making it difficult for them, and they would be not going to truly engage with your chatbot solution. Ideally, the transaction feed shown above should be cleansed to its simplest and clearest form:

KAUFLAND

The problem can be formulated as: classify transactions into a given set of categories. Today’s account holders are looking for help to manage their money. By adding automatic categorization to transaction feeds, we would help the account holders to better manage their money, improve user loyalty, and drive revenue growth. It is a must, in order to accurately categorize the vast majority of transactions. It has to go down deep into details of bill pay, POS, or direct deposit. Otherwise, users will find that the solution requires too much work and will become frustrated or give up. For the above reason, we recommend running each transaction through a series of four separate filters as outlined below:

  • 1. User Preference - If a user sets a personal preference for a particular transaction, it should be cleansed, categorized and classified according to that preference.
  • 2. Parser - If a user doesn’t set a personal preference, the transactions have to be parsed against a high-performance data tree to determine if it fits any our predefined rules. So, for instance, anything with “kaufland” in the feed is automatically categorized as groceries. This is generally used for national companies where it’s absolutely clear that there will be no conflict with other company names.
  • 3. Matcher - If the transaction isn’t found by your parser, we propose to have a set of manually created matchers that correlate with specific transaction feeds. Your in-house team of analysts should review transactions in the system to optimize the categorization. This way even purchases at small corporations (including mom and pop shops) would be categorized correctly.
  • 4. Crowdsourced - If the transaction isn’t found in any of your other processes, it could be categorized by a system that takes into consideration collective user preference.
  • Third, Aggregate It

    The PFM solution has to be ready for multi-source aggregation. In other words, it should be able to aggregate all bank accounts into a single place. We expect external aggregation connectors readiness for PSD2, so we will be able to provide truly complex personal finance overview.

About Sportina

Sportina is a leading multibrand store chain that delivers the ease and class of casual fashion selection to the people in every major city in the CEE region. The group’s focus and strength is selling fashion apparel for men and women from The world’s most recognized and prominent mid-price range casual fashion brands, as well as a wide variety of fashion-related content. Sportina Group is a leading fashion company in the Alpe-Adria region with revenues of EUR 98m, EBITDA of EUR 10m and a clear path for further business and value development. The company has operations in 11 countries and more than 350 stores under management. Sportina Group manages more than 2.100 employees, directly and through service agreements (managing other companies). Sportina Group has built a regional platform with strong infrastructural backbone for further expansion. The Company operates in Slovenia, Croatia, Serbia, Bosnia and Herzegovina, Montenegro, Bulgaria, Kosovo, Macedonia, Romania and Italy. In 2017 Sportina Group has entered on Austrian market.

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Challenge description

Sportina Group is looking to improve the in-store shopping experience for their customers by using latest innovations in the Retail industry. Sportina Group wants to innovate the in-store shopping interaction between customers and their employees and to create new customer engagement models.

This translates into 3 challenge tasks. The participants have to address at least one task below:

  • 1. Redefining the role of the Cash Desk
  • 2. Redefining the role of the Shopping Assistant
  • 3. Personalized in-store digital communication

WHY is this business case important for the company?

Sportina Group strives to provide the best shopping experiences for its customers. We realize that customers’ behavior is continuously changing in today’s connected world and that the only way to justify a customer making the trip to our store rather than shopping online is to give her/him an experience she / he can’t get anywhere else. Our goal is to better understand who our customers are, what are their fashion needs and wants and thus personalize the way we interact with them. We want the customers to feel privileged when in-store, offering them unique shopping experiences. Thus, we believe that enhancing the in-store shopping experience will drive customers’ loyalty, increase footfall and will inevitably lead to an increased average basket size.

HOW can applicants address the challenge?

We expect participants to the challenge to make use of the latest innovations in technology to solve one of the 3 tasks below:

  • 1. Redefining the role of the Cash Desk, by making use of the newest in-store payment means
  • 2. Redefining the role of the Shopping Assistant in the context of digitalization and change of customers buying patterns
  • 3. Communicating with the customers in a personalized way via digital means and finding out the most effective in-store marketing mix, based on real time data coming from inteligent devices, such as beacons, RFIDs, sensors, smart shelves, virtual reality or video analytics.

We appreciate solutions that:

  • Monitor the footfall in the store
  • Estimate the time-spent in the store
  • Offer behavior insights
  • Identify the consumer’s profile in real time: brands preference, clothing style, age, demographics, etc.

Challenge data set

Data set will be provided in a later phase and will include details about

  • 1. Current footfall
  • 2. Sales per store for a historical period
  • 3. Layout of one of Sportina’s flagship store
  • In case of specific information being be requested by any of the participants via email or during the on-site event this will be communicated towards all the participants.

About Selgros

Selgros is a large Cash & Carry company in Europe, owned by Transgourmet Holding, a wholly owned subsidiary of Coop (Switzerland). Selgros Cash & Carry Romania is one of the most important players in Romanian retail owning 21 stores. They aim to serve quality and freshness to their customers. Having thousands of partners, hundreds of thousands of customers and strong communities they take part in, Selgros is scrutinizing the future to be always useful and trustworthy. In 2011, Selgros joined Transgourmet Holding AG, the second largest B2B and food service network in Europe, with operations in seven European countries (Switzerland, France, Germany, Austria, Poland, Romania and Russia). The takeover of the network by Transgourmet confirms Selgros' growing attention to the gastro market and highlights the defining qualities of the company: the power of success, the energy of excellence, and the passion as the basis of any action.

Selgros focuses on the following directions:

  • Customer: It is at the heart of their work and attention, along with its business and daily needs.
  • Competence: They are improving constantly to make their work in the most efficient way for the benefit of their customers and the company.
  • The team: Collaboration is one of the key components for the Selgros team and responsibility honours them.
  • Community: The success of their business is also due to the community that hosts them, in which Selgros is actively involved.

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Challenge description

Selgros is looking to improve the marketing campaigns effectives to better target their customers and raise the retention rate by addressing more specifically the needs of their clients. Selgros wants to combine all the information they have about their customers from their clients’ database (which is categorizing all the customers based on an initial questionnaire done when registering within their database) with the buying historical data (stored in the ERP), analyze the data and display the results in a dashboard that can be used to generate marketing recommendations.

The project has two main components:

  • 1. Analyze the data from the clients’ database and suggest targeted marketing campaigns
  • 2. Identify possible misclassifications in the clients’ database; one customer’s classification, based on the initial questionnaire, should be also confirmed by their shopping behavior

WHY is this business case important for the company?

Selgros aims to provide a diverse portfolio to their customers by addressing their needs in a personalized way and bringing them specialised product assortments.

We understand that every customer has a different buying behaviour and we want to gather all this information in a single point of access that enables us provide customized shopping offerings to our loyal customers. We aim to better understand who our customers are and what are their needs and thus provide them the products they are interested in a more accessible way.

Therefore, we believe that by knowing our customers we can improve our loyalty programs through targeted campaigns and raise the retention rates.

HOW can applicants address the challenge?

At the moment, we have information about our customers gathered in two sources: the clients’ database and the shopping cart history. We expect the participants to our challenge to combine the data and create an algorithm that can create relevant results to solve the following tasks:

  • 1. Customers targeted activities: suggest possible campaigns that address a certain group of customers
  • 2. Product specific activities: understand which specific customers and customer groups to target when promoting a specific product
  • 3. Raise the customers’ retention rate: identify the accounts that present a high risk of leaving and create specific offering based on their needs
  • 4. Identify the misclassifications in the clients’ database: B2B customers are categorized by an initial form into N different groups and M sub-groups. Sometimes there may be inconsistencies between this data and the shopping behavior. We want to identify these inconsistencies and make recommendations for the reclassification of such customers.

The solution should be presented as a dashboard with intuitive user interface that displays the data and action recommendations based on the algorithm’s results.

Challenge data set

Data set will be provided in a later phase and will include:

  • 1. Customers list
  • 2. Customers’ shopping cart history list
  • 3. Dictionary with all the groups and sub-groups used to classify the customers
  • In case of specific information being requested by any of the participants via email or during the on-site event this will be communicated towards all the participants.

Oppening applications on
1st of October

If you have your own business idea, focusing on specific business need, build a MVP on SAP Cloud Platform and submit your idea.