Master Assortment with the Power of AI

Strategic assortment for hyper-localized product placement.

Intelligent Assortment Strategy

Analyze product mix scenarios using attributes considering historical sales data and predictive forecasts to optimize product width. To improve key performance indicators, take on retailers' long-tail challenges, maximize sales, and align assortments with financial targets.

Guided Assortment Management

Employ AI/ML to develop hyper-localized assortments tailored to customer preferences. Automatically assort placeholders and carry-over styles according to product performance across channels, countries, store clusters, and customer profiles.

Advanced Store Clustering

Utilize external and internal data—demographics, income, store space—to tailor assortments to the distinct preferences of various regions, channels, or stores, boosting sales through customer-centric strategies at each location.

Hyper-automated and Intuitive UX

Empower merchandisers with low-touch workflows focused on exceptions. Offer smart and visual suggestions and a simple navigation interface enhanced with o9 Gen AI, a digital assistant.

Data-Driven Inventory and Buy Plan

Receive inventory plan recommendations accounting for intelligent demand forecasts, sell-through performance, holidays, market events, and inventory norms. Use the o9 sizing and pack optimization features to optimize fringe size inventory and sales while considering store and vendor constraints.

Agile In-season Planning

Get real-time visibility into sales data and market trends. This allows retailers to adjust their product offerings dynamically by introducing new styles, discontinuing underperformers, and adapting purchases to current demands, allowing quicker decision-making. Maximize Sales, Minimize Guesswork with AI/ML Planning

Why customers choose o9

Prescriptive product recommendations

Future season assortment recommendations are guided by market forecasts and product performance across channels, analyzed by price, color, and fit attributes.

Customer-centric assortment planning

Recommend optimal product mixes tailored to geographic and sales channel needs, enriched by external market data for maximum customer satisfaction.

Maximize margins and revenue

Suggest optimal product placement at the right location, time, and quantity to boost profits by optimizing inventory levels, minimizing markdowns, and preventing stock transfers.

End-to-end integrated planning

Assortment planning is linked to financial goals and integrated with merchandise and supply chain functions like sourcing, production, and allocation. This enables collaborative execution across teams on one platform.

Increase planner productivity

Automate processes to eliminate repetitive manual data entry, freeing planners to focus on analyzing outputs and engaging in more value-enhanced activities.

Gen AI-driven recommendations

Transform assortment planning with Gen AI to streamline decision-making and root cause analysis, digitizing tribal knowledge through multiple scenario outcomes.