Buy Optimization by invent.ai
AI-driven buy optimization gives you super vision into the upcoming season trends to ensure your inventory investment, management and weekly stock sales intake plan align with stock and sales, reducing excess inventory, improving sell-through and maximizing revenue potential.

2-5%
increase in profits

5-10%
increase in sales

10-30%
reduction in inventory
A successful buy plan ensures inventory aligns with predicted customer demand while driving profitability, and is often a critical part of assortment planning. Invent.ai Buy Optimization ensures retailers invest in the right products by leveraging AI-driven insights to refine purchase decisions for every need.
AI-created store clusters allow for more precise inventory distribution, ensuring each location receives the optimal assortment based on demand patterns. By recommending style-color counts and range planning at the cluster and subclass level, the system aligns purchasing with customer preferences while minimizing overstock and missed sales to significantly improve cash flow.
An effective buying strategy is only as strong as its execution. Without an optimized stock flow, even the best assortment and range planning won’t translate into operational success. Invent.ai’s solution ensures buying decisions are backed by accurate demand forecasts that predict new launch effects, account for visual display quantities and incorporate store layout requirements—ensuring a seamless consumer experience.
By calculating inventory needs based on style-color launch plans, our AI-Decisioning Platform determines optimal buy quantities while balancing warehouse and store capacities, preventing overstock and ensuring the right products are available when and where they’re needed.

Customer-centric inventory planning
Prioritizes store layouts and visual merchandising needs, ensuring the right inventory arrives at the right locations for a seamless transition into the new season.

Early warning system for disruptions

Optimized stock flow with minimal inventory

Accurate, aligned operational plans
Why invent.ai’s buy optimization solution?
Buy Optimization transforms strategic assortment planning into an actionable purchasing roadmap. The weekly buy plan ensures that inventory purchases align with range start dates and sell-through targets, preventing overbuying while maximizing availability. By leveraging AI-driven insights, retailers can make data-backed purchasing decisions, maintaining an optimal balance of stock across locations and minimizing waste while meeting customer demand. Here’s how invent.ai buy planning optimizes your processes and grows revenue:
- Reduces overbuying and excess inventory
- Improves sell-through rates
- Projections for reconciliation and financial alignment
- Supports localized demand

The science behind it
A large part of buy planning success starts with pre-season analysis, specifically determining size profiles before calculating buy. At this stage, our AI breaks down size profiles at the lowest level, providing accurate and specific size ranges for all your products at your stores - including new products.


Our AI Forecasting includes attributes, such as size and style, across specific locations. Our Buy Optimization takes this information and recommends a pre-season buying plan. For example, one common relation is that large-size shoppers prefer dark colors whereas small-size shoppers prefer light colors. This would change by style, type and region.
Other factors taken into consideration when creating the buy plan include, for example, finalized budget and open to buy (OTB).

Streamline your markdown pricing process the invent.ai way
- Review / approve buy plans
- Analyze performance
- Review reports in UI
This allows users time to:
- Review/measure success of seasons
- Review future visibility (inventory, promotions)
- Review current strategies and run simulations
- Improve the system with our Hub Model
Optimize buying decisions and maximize profit dollars with AI-driven Buy Optimization
Invent.ai’s AI-powered buy optimization ensures inventory investments are aligned with customer demand and financial goals, reducing excess stock, improving sell-through and increasing overall efficiency. By continuously analyzing historical sales, demand forecasts and store clustering, the system dynamically adjusts buy planning strategies to minimize risk and maximize profitability.
AI-driven product forecasting
Predicts demand at the SKU/location level, ensuring the right styles, colors and categories are included in the buy plan while preventing overbuying.
Historical analysis for strategic buys
Identifies carryover opportunities and analyzes previous seasons to optimize inventory investment and improve future purchasing accuracy.
AI-generated store clusters
Groups stores based on region, climate, consumer preferences and sales data, tailoring purchases to localized demand and optimizing assortment depth.
Seamless financial integration
Connects buy planning with finalized budgets, OTB and profitability targets, ensuring purchases align with inventory efficiency and revenue goals.
“Invent.ai's Markdown Optimization solution optimized our markdown path through the season and directly improved our margin and end-of-season sell through. Invent.ai's Markdown Optimization showed significant impact on our financial KPIs starting from the first day of the implementation.”
Head of Merchandising, Leading Apparel Retailer
“With invent.ai, we have accelerated our demand forecasting and inventory optimization capabilities tremendously. Their tailor-fit, AI-powered planning solutions and expertise in the retail industry enabled us to improve availability and reduce lost sales.”
Batur Can, General Manager, Fiba Retail Group
“Invent.ai provides tailor-fit solutions to retailers’ problems. Its fashion-retail industry-specific expertise and dedicated data analytics team are some of the other reasons behind our decision to partner with invent.ai.”
Sinan Sefai, Chief Sourcing and Supply Chain Officer, Mavi
Connect with an expert to discuss invent.ai Buy Optimization
