Retail sales forecast at a food retailer

Retail sales forecast at a food retailer

Retail sales forecast at a food retailer

An automated solution for predicting the sales of any product is being developed and transferred to pilot operation.

Transparent white-box approach for the customer

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Creation of independence from external provider through in-house solution

High cost savings

Challenge

An internationally active food retailer wants to automate the sales forecasts of its products and introduce an automatically controlled value chain. The software used so far is to be replaced by the development of a solution that can be adopted and further developed internally.

Solution

Forecast models are developed and optimised specifically for certain requirements (e.g. introduction of new products). The procedures are then integrated into an automated process for expansion to any markets and product groups.

Result

The forecasting quality can be increased compared to the software used so far. The process is automated and can be controlled and further improved by the customer.

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Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Demand forecasting in supply chain management

Demand forecasting in supply chain management

Demand forecasting in supply chain management

With the help of sales forecasts and demand forecasting, the entire supply chain is to be optimised for a beverage company.

Significant reduction of the whip effect, which increases as the level in the supply chain rises.

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Reduction of out-of-stock situations despite simultaneous reduction of stocks

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Central calculation of order proposals enables transition to vendor-managed inventory

Challenge

Out-of-stock situations and excess inventory exist at all levels of the supply chain and need to be reduced. Whip effects should be identified in the historical sales data and countermeasures implemented. Increasing product variety should be managed without the need for manual intervention.

Solution

The data silos are broken down by establishing an overarching data lake for centralised control of the entire supply chain. Automated sales forecasts for all stages of the supply chain are implemented with machine learning algorithms based on historical sales data. Forecasting unknown demand by modelling demand data from historical sales data.

Result

A universal, automated forecasting environment is available that can be used flexibly at all stages of the supply chain. Whip effects are reduced through shorter response times and reliable forecasts at all stages.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Demand forecasting of spare parts through machine learning

Demand forecasting of spare parts through machine learning

Demand forecasting of spare parts through machine learning

A parts distributor uses machine learning to improve the accuracy of demand forecasting, increasing parts availability and reducing lost sales by 50 %.

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Increase forecast accuracy at all sales locations and for the most important product groups

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Increase in parts availability (service level)

Targeted control of stock turnover

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Reduction of lost sales by 50%

Challenge

A dealer of construction machinery spare parts would like to forecast the demand quantities for its products in the next few months at various locations in order to stock its warehouses according to demand.

Solution

Relevant predictive indicators were identified from internal data (e.g. historical demand quantities, product master data, master data on sales locations, ...) and external data sources (weather and economic data). With the help of a machine learning algorithm, the demand for spare parts at all locations for the next 12 months can be predicted more accurately than was previously possible.

Result

The increased forecasting accuracy means that retailers can manage their warehouses more efficiently. The added business value is reflected in key figures such as parts availability (service level), stock turnover and reduction of lost sales by avoiding empty warehouses.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Online Recommender System for Cross-Selling

Online Recommender System for Cross-Selling

Online Recommender System for Cross-Selling

Data-based product recommendations enable a consistent and individual customer approach at all touchpoints.

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75% of the recommendations are rated as helpful by the sales experts

One algorithm for recommendations at multiple customer touchpoints

Enabling the further development of the recommendation system through know-how transfer

Challenge

A B2B mail order company wants to increase its turnover through better cross-selling offers. Customers are to be addressed uniformly and individually both through classic sales and in the growing online area.

Solution

A recommendation algorithm is developed based on transaction data. The quality of the recommendations is continuously validated by sales experts during the development. Together with the client's IT department, a concept is developed for recording user activities in the web shop in order to enrich the algorithm with this data.

Result

Customer-specific product recommendations are provided uniformly in the sales system and in the web shop. An automated feedback loop from the sales department enables the continuous further development of the recommendations.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Ongoing assortment analysis through a web application in the tool trade

Ongoing assortment analysis through a web application in the tool trade

Ongoing assortment analysis through a web application in the tool trade

With the help of an interactive analysis tool, the assortment adjustment process of a tool dealer could be significantly simplified and accelerated.

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The complex process of assortment cleansing can be carried out within a few minutes
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The prototype combines the quality of heterogeneous demand signals from different markets

The prototype combines the quality of heterogeneous demand signals from different markets

Challenge

The constantly growing assortment of a tool retailer must be regularly reviewed with regard to various criteria. These include, for example, the sorting out of products with low sales and restrictions on storage space and advertising space. There are many interdependencies between the individual products that must be taken into account when streamlining the assortment.

Solution

The relevant information on the product range is presented to the user simply and clearly in a web application. Various criteria and business logics for assortment adjustment can be activated via sliders and check boxes and their influence tested.

Result

With the help of the solution, the assortment adjustment can be reduced to a few minutes. The process can be carried out completely in the web application and there is no longer any need to create Excel evaluations, for example.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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Smart cooking with Thermomix

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