Tl;dr: This case study shows how Guzzi Gioielli used AI-driven inventory planning, demand forecasting and assortment optimization to achieve a 25% increase in SKUs while improving product availability and maintaining tight control over inventory investment.
For retailers, assortment and assortment optimization is a key driver of customer experience. The ability to offer the right product at the right moment often determines whether a sale is captured or lost. Yet expanding a product catalog can quickly become financially risky if inventory planning decisions are not carefully controlled.
For Guzzi Gioielli, the Italian luxury jewelry and watch retailer, product selection has always been central to the brand’s identity. With three retail locations in Calabria and an expanding ecommerce presence, the family-run company has built its reputation on craftsmanship, elegance, and a thoughtfully curated assortment.
As the business entered a new stage of growth under CEO Eugenio Guzzi and COO Vitaliano Battaglia, demand for greater product variety increased both in-store and online. Customers expected more choice, but assortment optimization strategy required careful planning to avoid tying up excessive capital in inventory.
The leadership team recognized that increasing product availability would require a more efficient and disciplined approach to inventory planning.
The Challenge of Assortment Optimization
Growing retailers often face a difficult trade-off between assortment breadth and inventory efficiency. Expanding the number of available SKUs can improve customer experience, but it also introduces new operational risks.
Without the right planning tools, increasing assortment can lead to:
- Capital tied up in slow-moving products
- Reduced inventory turnover
- Increased risk of overstock or obsolescence
Eugenio and Vitaliano wanted to offer customers a broader selection while maintaining the financial discipline that had supported the company’s rapid growth.
Achieving both objectives required a more precise understanding of how inventory investments could be optimized across the catalog.
Effective assortment optimization depends on strong inventory planning and accurate demand forecasting. Without data-driven visibility, retailers risk over-investing in low-performing SKUs while missing opportunities to meet customer demand.
A Smarter Inventory Planning Approach with Intuendi
To support this effort, Guzzi Gioielli implemented Intuendi’s AI-powered demand planning platform to gain deeper visibility into inventory dynamics and purchasing decisions.
With predictive demand forecasting and advanced inventory analytics, the leadership team was able to improve how inventory capital was allocated across the product catalog.
The Intuendi platform helped the team:
- Better align purchasing with demand signals
- Improve cash flow visibility across inventory investments
- Create room to introduce additional products without increasing overall risk
By optimizing purchasing efficiency and inventory distribution, the company gained the flexibility needed to safely expand its assortment.
The Results Driven by Demand Forecasting
With greater control over inventory planning and purchasing decisions, Guzzi Gioielli successfully expanded its catalog while maintaining operational stability.
The initiative delivered measurable outcomes:
- 25% increase in available SKUs across the product catalog
- Improved product availability for customers
- Stronger alignment between inventory investment and demand
The broader assortment strengthened the company’s ability to serve both in-store and online customers while supporting continued growth.
The Advantage Gained
By improving the efficiency of its inventory planning, Guzzi Gioielli was able to expand its product offering without compromising financial discipline.
With Intuendi supporting demand forecasting, inventory analytics, and purchasing visibility, the leadership team gained the confidence to grow its assortment while maintaining control over capital allocation.
The result was a more scalable inventory model, one that allowed the business to offer customers greater choice while preserving the operational strength needed for long-term growth.
