Jungheinrich Profishop

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Prototypical development of a model for a data-driven planning system for automated and data-based purchasing and category management decisions.
Industry
Industrial Goods
Project Category
C1 - Category Management
Website
https://www.jungheinrich.de/

Starting Point, Goals & Outcomes

DATA-Driven PLANNING IN SALES AND CATEGORY MANAGEMENT

A leading industrial and workshop equipment supplier needed to align its purchasing and category management decisions more closely with sales.

TFN developed a prototype data-based planning system that supports automated decisions. The aim was to integrate the sales perspective into the purchasing process to optimize the product range and minimize excess stock. The team of experts analyzed exemplary product and customer behavior data, identified relevant attributes and developed a product scoring model.

TFN thus created the basis for an operational prototype that can lead to more precise, customer-oriented purchasing decisions and improved sales planning.

'One approach was to use the attributes of a category and their sales figures to determine which attributes - for example, which color - have a positive and which have a negative effect on product sales'

Peter Cabelström

Product Manager, Talentformation Network

Approach

LEAN & FAST: RAPID VALIDATION OF HYPOTHESES

With a highly efficient team of experts consisting of a product manager, category management specialist and data scientist/engineer, TalentFormation quickly analyzed how data-supported decision-making processes can be designed.

Iterative, hands-on execution

Combining a start-up mentality with prototype development alongside day-to-day operations to enable fast insights and adaptability.

Data-driven, customer-centered planning

Validating strategic objectives through a bottom-up planning tool at the EAN/SKU level that integrates product and customer behavior data.

Analytical decision foundation

Using data cleansing, attribute definition, and machine learning to calculate product scores and optimize category size and marketing decisions.

The TalentFormation Factor_

TalentFormation uses its network of top talents to form highly specialized, well-coordinated teams that can implement complex projects to a very high standard in the shortest possible time.

This enabled the team, which had already worked together successfully on other data projects, to achieve a result very effectively and quickly, which would have cost many times more project days in a different constellation. Close cooperation and coordination between the team members and stakeholders on the client side ensured that the limited budget was used optimally.

The further development of the model into a prototype that can be used in operational business can be easily realized by expanding the team with appropriate experts at short notice.

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