The Sapore di Mare success story
Global supply chains with volatile demand, increasingly broad assortments, and intense competition driven by frequent promotions make inventory planning ever more complex.
Many companies still manage these decisions using Excel or limited ERP capabilities—tools that do not allow them to react at the speed required by today’s markets.
The result is often an inefficient trade-off between:
- working capital tied up in inventory
- stockouts and lost sales
- manual activities that slow down planning
Today, Artificial Intelligence–based Supply Chain Planning platforms enable organizations to move from reactive management to predictive, automated planning.
This means making faster, more accurate decisions on what to order, when to order, and in what quantities, while improving operational efficiency and service levels at the same time.
In this webinar, you will learn how some companies are succeeding in reducing inventory by up to 35% while maintaining service levels above 95%.
Key webinar takeaways
Sign up now to learn how to:
- reduce working capital tied up in inventory
- define optimal stock levels for each SKU
- automate replenishment and reduce manual activities for planners
- manage the long tail of slow-moving products
- anticipate promotions, seasonality, and demand fluctuations.
The success story and the AI-powered Service-Driven Planning approach
You will hear how Sapore di Mare (D.I.MAR. Srl)—Italy’s largest retail chain specializing in frozen fish, with around 100 stores nationwide—transformed its planning approach to manage seasonality, promotions, and network complexity more proactively.
During the webinar, we will share the journey, the choices made, and the tangible results achieved.
We will conclude with an overview of the ToolsGroup solution which, thanks to its native integration of Artificial Intelligence, helps reduce manual activities, deliver more reliable forecasts, and ensure business continuity even in scenarios of uncertain demand.
The experts you will meet
Moderator
Manuela Gianni
Analyst
Roberto Cigolini
Speaker
Federico Piccioni
Case Study Speaker
Saverio Teloni
