In this month’s installment of our ongoing series, we’re pleased to share two of our Dataiku Business Solutions specially created to accelerate the work of sales, marketing, and supply chain teams. While all businesses can use them, these particular solutions are especially relevant to individuals working in the retail industry.
Distribution Spatial Footprint is a unique tool built for teams that desire to start competition analysis for physical stores and to understand customer footprint coverage. It’s useful for sales departments, marketing teams, as well as supply chain specialists who aim to optimize campaigns, pilot the supply chain, and make strategic decisions on the localization of physical shops.
Product Recommendation, on the other hand, enables marketing teams to quickly build a recommendation system using transaction data to recommend products based on the purchase behavior of similar users. The end objective is to quickly generate additional sales within your customer base and boost retention.
Before exploring these two topics further, a short summary of Dataiku Business Solutions, what they’re about, and how you can use them in your day-to-day work to achieve real-world business value!
About Dataiku Business Solutions
Business Solutions are ready-to-use Dataiku projects and analytical apps that accelerate the way to achieving advanced or foundational industry-specific use cases within your organization. They are an operational shortcut to gaining real-world business value. Taking advantage of Dataiku’s core features, they are also built to be fully customizable and entirely editable.
Business Solutions already support the acceleration of AI journeys of various functions from different industries, including financial services, retail and CPG, health and pharma, and even manufacturing. To find out more, you can check them out on the Dataiku website or directly through your Dataiku instance.
Business Solutions of the Month
Distribution Spatial Footprint
What is included in the solution:
✓ Point of Sales selection and analysis.
✓ Set up of isochrone layers to be visualized: duration and transportation means.
✓ Geo analysis tools to analyze the distribution of customers using mapped isochrones.
Learn more by watching the video below, and continue reading to discover our next solution of the month.
Product Recommendation
Using our Product Recommendation solution, you can learn from user and item similarities in past transactions in order to train a model. Afterward, you can leverage the trained model to predict whether a user will purchase a product or not. Finally, you can explore the recommendations outcome and use it to foster consumer engagement.
What is included in the solution:
✓ Customer recommendations: select a country and customer to see the top recommendations.
✓ Product analysis: identify the “n” most similar products to any given product (“n” can be defined in the project).
See the solution in action by watching the video below!
Requirements to Use Dataiku Business Solutions
If you’re interested in using a Dataiku Business Solution, the requirements are simple. You must have relevant business data to feed the solution, as well as use Dataiku 9 or a later version. All other technical requirements and useful code environments can be found in our Knowledge Base.
You can learn more about the different Business Solutions available to Dataiku users like you by discovering the ones featured last month, or by browsing all of the installments in our ongoing series.
Would you like to try one of the Dataiku Business Solutions featured this month? Let us know in the comments!
