Some details
The Client is a European leader in construction material trading. They aim to offer their customers competitive prices, fast order completion, and delivery, as well as tailor-made additional services.
To help the Client, we implemented our unique AI Sprint approach that is rapid prototyping of an AI model. It aims at verifying if and how AI is applicable to solve a given business problem. It includes a 2-day workshop and
prototype development and takes less than 1 month.After the workshop, the Client’s team and our data scientists collaborated over the tasks to create a proof-of-concept – exporting data in CSV format, building the flow and the predictive model as well as an RPA robot. Our team also prepared recommendations for the Client for further use and development of the model.
The outcome of the workshop was an offer/order price estimation model. This model predicts the total amount the customer will most likely pay for their order basing on the ordered resources, the volume of the order, and customer data.
The development of the PoC took two weeks and as a result, the Client received a model providing estimates of the order value and delivering the estimates to the sales team. The process of getting an estimate includes exporting the order as a CSV file, sending the file to a specified email address – the email then triggers a robot that retrieves the missing data from the database, starts the predictive model, and gets the estimate. The estimate is then sent as an email to the sales team.
The solution will support the Client’s sales team in their everyday work, making it easier to provide calculations for the customers. The end customers will get more accurate estimates, and they won’t have to plan for a big margin of error between the due amount estimated on the day of placing the order and the actual one that they have to pay upon delivery.
