Webinar transcript ‘Is your company ready for the AI revolution in supply chain?’
30 April 2025
Webinar transcript ‘Is your company ready for the AI revolution in supply chain?’
30 April 2025Case Study – W. Legutko
Customer description
W. Legutko Przedsiębiorstwo Hodowlano-Nasienne Sp. z o.o. was founded by Dr. Eng. Wiesław Legutko in 1992 and has since cultivated its position as a trusted supplier in the gardening market. The sources of the company's success are grassroots work, a close connection to the land, and a love of plants. Thanks to successive generations of successors bringing new initiatives and ideas to the gardening market segment, the company continues to grow, set trends, and implement innovations in retail and wholesale gardening market services. The company strives to become the leader of the Polish market and one of the key players on the European market.
Purpose of the project
The decision to implement the Dature system was made as a result of the need to optimize the planning process in order to reduce supply chain costs and increase customer service efficiency. The first processes to be implemented were demand forecasting and finished product planning, using artificial intelligence and optimization algorithms available in Dature.
Challenges
The gardening industry is characterized by seasonal demand and long overall lead times, i.e., the time that elapses from sowing seeds, through purchasing materials, to production and shipping to the customer. The wide range of products and the great diversity of customer needs require, on the one hand, a long-term view of the supply chain and, on the other hand, a flexible approach to planning and executing current customer orders. This requires close cooperation between production planning departments and other departments of the company and making optimal decisions from the point of view of the entire organization.
Project scope
The implementation of the Dature system at W. Legutko was carried out by the Customer's team and Smartstock, the author of the Dature application. A module for statistical demand forecasting and finished product planning optimization was implemented. Statistical forecasts are generated in granularity per product per customer or per product per customer group, with particular emphasis on the seasonal specificity of order placement and fulfillment, as well as forecasting quantitative returns. The finished product planning optimization module allows for simulations of inventory and deliveries in the long (annual) and short (daily) term, taking into account customer-specific constraints and supply chain parameters.
Business benefits
The implementation of the Dature system at W. Legutko has enabled far-reaching automation of the forecasting and planning process for finished products and increased the efficiency of the decision-making process related to inventory and production resource planning. Thanks to access to up-to-date information on the current and future stock situation, forecasted future demand and returns, as well as a mechanism for optimizing stocking recommendations, the quality of work and the effectiveness of decisions made in the planning process have significantly improved. The flow of information within the company has also accelerated significantly. This makes it possible to continuously optimize costs and improve customer service quality.
Customer reviews
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'Our main challenge is the number of SKUs per customer. We handle over 300,000 combinations, which provide us with warehouse stocks. For many years, we have been using traditional IT tools, but now is the right time for a major milestone. This step is the implementation and launch of the Dature application. With the appropriate batch data, we have obtained surprising results and information, thanks to which we have reduced costs, improved turnover in the finished goods warehouse, and relieved the sales department of the work associated with sales forecasting. With full conviction and experience, we will continue to effectively develop the Dature program and its scope at W. Legutko, forecasting sowing dates for over 6,000 plant varieties on 4 continents.'
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