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"This online grocery store wants to attack Amazon Fresh" – this is how the Gründerszene online magazine described the market entry of Getnow. A young and innovative company that not only wants to gain a foothold in the highly competitive e-food market in Germany, but also, wants to revolutionize the industry. 

With its innovative business model, Getnow – so far the only pure online supermarket in Germany – is setting its course for the German e-food revolution. With a strategic partnership with METRO Group and its partner DHL, the young company operates successfully in the e-food business without having to resort to its own warehouse or its own courier fleet. Getnow uses the full assortment of more than 50,000 products from METRO and DHL's long-term delivery know-how, and thus can offer both a large selection of products with flexible and, above all, punctual delivery.

Now, it is important to implement this intelligent strategy excellently in operational terms. Getnow has deliberately opted for this data-driven path by relying on a partnership with minubo and our solution, the Commerce Intelligence Suite.

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Since its founding in 1956, INTERSPORT has established itself as the most successful medium-sized association in sports retailing. More than 900 INTERSPORT dealers in Germany today make almost € 3 billion on sporting goods – a strong foundation. Nevertheless, the entire industry is currently facing many challenges, driven above all by increasing competition and rapid market changes. Topics like digitization and intelligent data use are moving into focus. At the beginning of 2017, INTERSPORT consolidated all digital activities with the founding of INTERSPORT Digital GmbH. 

In order to make the central steps of digital transformation as efficient and productive as possible, the INTERSPORT group relies on a partnership with minubo. In our new WhitePaper you will get an overview of how minubo advances the topic of data analysis within the association group and enables digitization at the point of sale.

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The topic customer journey is omnipresent at the moment and every company talks about it. Nevertheless: For many commerce organizations it is still very difficult to make customer journeys measurable and controllable and thus to make data-driven decisions to optimize customer journeys.

As a specialist in onsite marketing intelligence, Akanoo has recognized this challenge and attempted to define workable KPIs to make customer journeys tangible and manageable – the result: The Onsite Customer Journey Index was developed.

This Onsite Customer Journey Index will be discussed at the next CRS workshop. In addition to questions on model premises, calculations and terminology, the focus is also on how the model can be used for strategic and operational applications.

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May 25, 2018 - this date has been marked in red on the calendar by many trading companies, because on this day the new EU General Data Protection Regulation (GDPR) comes into force. Generally speaking, this is a Europe-wide harmonization of data protection requirements. The handling of personal data will be standardized across Europe. Since the demands on data protection in Germany were very high before, at first sight, no special explosiveness seems to lie in this topic. However, if you look at the newly established fines and criminal proceedings, the whole issue is already much more explosive – up to 4% of annual turnover, or 20 million euros, are the maximum possible fines.

As a Commerce Intelligence Company and service provider to brands and retailers, minubo is also affected by the new EU General Data Protection Regulation. How, and to what extent, we will clarify in this blog article.

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The Commerce Reporting Standard Initiative has set itself the task of enabling brands and retail companies to build a data-driven organizational structure. After all, hardly any retail company has a clearly defined system of key figures on the basis of which a sustainable reporting and analytics infrastructure can be built and ultimately a data-driven work culture can be established – this empty space is exactly what the initiative with their partner Project A focuses on and wants to fill with a Commerce Reporting Standard. 

In her talk at the TrendArena at this year's Internet World Expo, Anne Golombek, VP Marketing at minubo and initiator of the Commerce Reporting Standard Initiative, commented on why a data-driven organizational structure is an absolute must, especially in today's competitive environment within the retail industry. Her hypothesis: Good trade concepts can be successful even with Amazon in the picture – this applies not only to trade companies that compete directly with Amazon, but also to building a strong market position in general.

Watch her talk here and find out how exactly this might look like and what role the Commerce Reporting Standard plays in this process.

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When data-driven work is discussed in the media or in specific magazines, the primary focus is on enabling strategic and operational roles in the corporate centers of commerce organizations, but employees who work every day in the stores and deliver the goods to the customer, are not included.

In fact, data-driven decisions are made almost exclusively in the management departments and at the management levels of departments within a commerce organization. The individual employees in the stores generally do not have access to their store data. This means that those employees are neither able to establish data-driven work and decision-making processes, nor can they understand the interdependencies and relationships within their stores and directly monitor or influence the performance of their products – until today! 

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The term "data-driven work" is on everyone's lips. We are confronted with this issue from all sides and we have repeatedly drawn attention to the importance of this strategic orientation within an organization.

The importance of data for business success and company growth is now foremost in many people’s minds. But still, the entrepreneurial practice looks completely different: According to a study by McKinsey in 2016, very few companies profitably exploit the potential and value of their data – although the topic has been around for so long. This study has also shown that data and analytics change the fundamentals of competition in the commercial sector, and that they are essential for business success. And yet, data-driven work has so far only been performed by a few commerce organizations. How can this be if the understanding has already arrived at so many companies?

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"Omni-Channel" has grown from an abstract buzzword to a serious development – omni-channel commerce has come to stay! For many commerce organizations, this means they now have to deal in detail with the processes and meaning that this topic brings.

With the arrival of the term omni-channel in the minds of many strategic, but also operational, roles in a commerce organization, there is a growing awareness of the focus on the customer. Especially in the omni-channel context, it is important to understand how your customers behave between, and within, the various channels, to offer them an intensive and individual shopping experience across the channels. However, companies often do not have the option to visualize this Omni-Channel Customer Journey in any way – the information required for this is contained in separate data silos and is not freely accessible per se.

But the ability to acquire this image becomes a turning point when it comes to being able to fully unlock your existing customers' purchasing potential. So far, however, there has been no solution that models the customer's journey across all touchpoints and thus across all channels. For commerce organizations, it is still difficult, in this age of omni-channel, to take advantage of the dynamics between the individual channels.

This is a guest blog post contributed by our partner DataVirtuality.

Big data is the key to success. While big data is not a new topic to talk about, many companies just start realizing its full potential and improving their data integration and analysis.

This is how you can beat your competitors by speeding up and serving customers and future customers according to their needs. You should transform your big data into smart data. And we will show you how.

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Yes, the new year has long been getting busy again, but still, we want to take a look at the previous year und share the major facts and numbers of 2016 with you. But we do not want to do this in the form of a traditional year-end reporting or packed in a simple blog post with incomprehensible numbers and diagrams. For our 2016 annual review, we’ve decided to use another form of presentation – we've combined all major facts and numbers within this infographic. 

You can expect a great mixture of internal company information and data regarding the minubo customers. Thereby, questions will be answered like in which industries our customers operate and from which countries they come from. Furthermore, the infographic contains technical data regarding the minubo Analytics & Insights App and a glimpse behind the scenes of our company. But at the forefront we present the performance-based figures of the minubo customers – average growth rate, average mobile impact on revenue and the average campaign ROI.

But see for yourself!