Retail

In retail, it is all about the customer. You cannot get along with a standard customer approach anymore. Customers expect a personal approach, not only online but also in the store. With the right offer, you are not only personal but relevant as well. With continuous innovation as a retailer, you can not only meet the expectations of your customer but even exceed them! How? Let data work for you. With smart analyzes, you boost the customer experience.

Solutions

  • Location

    What is a good location for your stores? By analysing existing stores, we can find out exactly which factors contribute to the revenue. Is your target group sufficiently represented in the neighbourhood? How strong is the competition in the area? 

     

    The revenue potential forms our analyses shows how much revenue you could realize, given the location of the store. We support with targeted recommendations to realize that revenue potential.

     

    Do you have an expansion strategy? With results of the analyses we create a white area plan and you can use the models yourself to determine revenue potential for the new locations. This way you are always at the optimal location!

  • Pricing & Promo

    As a retailer, you are busy with prices and promotions every day. What is the impact of a price change? Which promotion is the most effective? In a time where promotions follow each other faster and faster and prices changes are the everyday reality, it becomes increasingly difficult to find out what effect is caused by which action.

     

    We analyse the impact of price changes and the effectiveness of promotions. Accurate sales predictions ensure that customers do not end up at an empty shelf, or that you are left with a lot more inventory than expected. With the results of the analyses, you can work out future price changes and promotions yourself. Totally ready for the future? Let the models give recommendations about the optimal price and the most effective promotion.

  • Customer

    Do you really want to get to know your customers? Clustering customers based on behaviour and characteristics will help you to get to know them well. With our customer lifetime value models, we make clear what you will gain from each customer (group). 

     

    Of course, we go further than giving insights. What you really want to do is influence customer lifetime value. You do this by cashing cross-sell and upsell opportunities and preventing churn. With a personal approach, because not every customer is the same. Use the right media campaigns and make sure you are relevant with personal promotions and recommendations. 

  • Assortment

    In a physical store, you are bounded to the square meters that you have. Which products do you offer and which ones not? With assortment and shelf differentiation we optimally organize your store, taking into account the size, but also the neighbourhood. With the help of clustering, types of locations that are very similar to each other can be found, so that the optimum assortment can be determined per type of store. 

     

    Sales forecasts ensure that you have the opportunity to act timely on situations that are not desirable, such as expected out-of-stock. Our forecasting models deliver accurate sales and inventory forecasts and with the right triggers, we ensure that the process can be perfectly managed. 

How we work

  • STEP 01 Potential Scan

    Many people, many needs, also within data science. Which challenge are you going to tackle first? Is there enough data available to fit a model on? We like to take small steps forward and answer these questions in the potential scan.

    • Test feasibility statistical model
    • Data inventorization
  • STEP 02 Proof of Value

    Every situation is different, so it is difficult to estimate in advance how much data science will bring for you. During the Proof of Value we develop models based on a limited scope. In this way, we can determine the added value as quickly as possible.

    • Determine added value based on limited scope
    • First insights & advice
  • STEP 03 Acceptance

    With acceptance within your organization, a data-driven solution will really take off! That is why we show, with cases from daily practice, what the added value of data science is. With a team of ambassadors within the organization, we determine how the next steps look like.

    • Achieve acceptance in the organization with cases
    • Joint effort for prototype and implementation
  • STEP 04 Prototype

    We will now fully roll out the models developed in the Proof of Value. The finalization of the models is done together with you, by analyzing the results with our joint expertise of data and business. We also set up tooling, with which you can use the models youself to support decisions.

    • Finalize models
    • Set-up tooling
    • First use in operation
  • STEP 05 Implementation

    You want to be sure that you always support decisions with the latest information. This is only possible with an automated data flow and models that directly make use of that data. We ensure that the solution fits perfectly into the excisting processes. Nothing stands in your way to let your organization grow!

    • Automated data flow & analytics
    • Improved daily operation
  • STEP 06 Embedding

    No matter how nice our cooperation is, in the end we want you to be able to do it yourself. We work on a smooth integration, in the way that best suits your organization. Still a question for our experts? You know where to find us!

    • Added value realization
    • Organize workshops
    • Knowledge transfer & documentation

Our best cases

Lucardi

E-mail customers with personal pearls

  • Optimal relevance for customers
  • Personal mailings are 50% more effective
Read more

Applying our solutions yourself?

Learn how our platform supports your organization in data-driven decisions.

AskAnna

Know more?

Posts

Our clients