Inventory.io: AI Allocation and Replenishment Software Designed to Help You Achieve Inventory Excellence
Significant Impact Fast
12%
Growth in Profits
25%
Increase in Supply Chain Efficiency
20%
Better Inventory Rotation
10%
Reduction in Costs
25%
Improvement in Product Availability
Strike the Right Stock Balance that Stops the Endless Cycle of Overstocks and Stockouts
Inventory is one of the biggest costs for retailers, which is why having it in the wrong place is especially damaging to the bottom line. Inventory.io makes inventory optimization easy. Innovative and unique AI engines listen to real-time demand signals and recommend inventory movements to meet changing demand, minimizing missed sales without excess stock in stores, which optimizes Gross Margin Return on Inventory Investment (GMROI).
Trusted By Retailers Worldwide
Ensure every inventory decision has the maximum impact on GMROI, from pre-season planning through end-of-season markdowns with Inventory.io
AI allocation and replenishment software automates inventory management, freeing planners for strategy without ceding control to a black box.
End of Stockouts and Fragmentation
Sophisticated demand sensing means products are available when customers want them. No more stockouts and missed sales—and happier customers.
Customer-Centric Assortments in Each Store
By listening to customer demand in real-time and moving products responsively to meet that demand, you are continually re-assorting in a customer-centric manner, delighting customers with what feels like personalized store experiences.
Intuitive, Modern, and Planner-Friendly Interface
Inventory.io was designed to be intuitive and accessible to new users. This increases and speeds adoption, delivering transformation in a fraction of the time.
Fast Time to Value with Impact in Just 90 Days
Inventory.io is built on a modern, composable, and cloud-based architecture, which means that your data can be integrated into the AI model in weeks, not months. Our Value Delivery Roadmap supports implementation to deliver impact within 3 months.
Explainable AI Recommendations Merchandisers Can Trust
Explainability features in the application mean planners can feel confident in the recommendations made by AI. Merchandising teams can manage by exception, automating manual work so they can focus on more valuable strategic decisions.
No More Dependence on Markdowns for Overstocks
Once inventory is allocated to stores, increasing discounts must be used to clear slow-sellers—and even the highest markdowns fail to move it all. Rebalancing engines in Inventory.io take all costs and margin projections into consideration, while respecting your workforce constraints, so store-to-store transfers become a profitable alternative.
Key Features
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Probabilistic forecasting
A forecast that leverages the full curve of probabilities better navigates the uncertainty inherent in today’s retail landscape when identifying demand.
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Real-time demand sensing
AI listens to real-time demand signals, identifying and responding to the smallest shifts in trends.
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Optimal initial allocation
AI analysis of attributes identifies likely store-level demand for each SKU/ size/ location, automating successful new product launches.
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Responsive inventory optimization in-season
Subsequent allocations from warehouses, replenishments, and store-to-store transfers maximize margin, no matter what disruptions interfere with plans.
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A unified approach to planning
The same AI engine powers both long-term inventory projections and responsive rebalancing, ensuring better performance both pre-season and in-season.
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Simple and intuitive user experience
Managing inventory profitably is easy for even the newest members of your team, thanks to a simple UI and a system designed for management by exception.
Success Stories: Real-World Impact of Inventory.io
Early adopters are already maximizing GMROI and enhancing in-season inventory productivity by leveraging the cutting-edge Inventory.io AI engines.
Partnering with Evo gave us access to troves of data on local consumer behavior and a cutting-edge AI …that can analyze this data in combination with our internal data to get the right products in the right sizes at the right location at the right time.”
Alessandro Pozzi, Boggi COO
Challenges
- Rapid international expansion meant in-house inventory management systems could no longer sustain growth
- The unpredictability of demand in new geographies limited inventory efficiency
- Both Increased stockouts and unsold inventory
- Dropping inventory productivity
Results
- 18.2% increase in inventory efficiency
- 4% increase in like-for-like sales
- 12% reduction in inventory levels without stockouts
- 72% fewer allocation errors
- 47% improvement in product availability
This has been a transformative project. Evo showed us that responsive inventory could better serve demand, capturing incremental margin and revenue.”
– Nicoletta Greco, Motivi CPO
Challenges
- Unpredictability of demand for differentiated product assortment distribution by store
- Sales dropped drastically during the Covid-19 pandemic, threatening Motivi’s survival
- Slow recovery in store traffic, with unpredictable ebbs and flows in different locations
- Need to quickly sense and respond to local demand fluctuations
Results
- Exceptional V-shaped recovery of sales for slow-moving products
- €8.8M immediate impact opportunity
- €3.1M extra seasonal revenue
- €5.5M further sales potential
Evo has been our top innovation of 2016. An impact that has far exceeded our expectations, delivered professionally.”
– Francesco Cavarero, CEO of Miroglio Fashion
Challenges
- Many short-lived, volatile, slow-selling items
- Challenges in accurately forecasting item demand at the store level
- Unbalanced sales across the network, creating extended shelf life
- A history of unsuccessful consulting and software implementations
Results
- 25 pp increase in allocation efficiency
- 20% increase in sales
- 30 pp increase in sell-through
- €1m/month incremental margin
