Assortment planning system RFP checklist for fashion retailers

Fashion retailers evaluating assortment planning software face a fragmented market where platforms vary widely in functional depth, integration capability and implementation maturity. A structured RFP process helps procurement, merchandising, IT and finance teams evaluate vendors against consistent business objectives. The checklist below addresses six evaluation areas based on current deployment patterns and integration requirements in fashion retail.

What functional requirements should an assortment planning RFP include?

Effective retail planning software can include merchandise financial planning, assortment planning, demand forecasting, allocation, replenishment, and inventory planning tools. Fashion retailers should distinguish between platforms that cover the full planning cycle and those that address specific functions.

Core functional requirements include range and line planning with visual boards for collection review, merchandise financial planning with open to buy control, demand forecasting that accounts for new products with limited sales history, store clustering and localisation to tailor assortments by location, and scenario planning to model what-if analysis before committing budgets. Merchandising or merchandise planning involves the strategic selection, management, procurement, display, and pricing of products to optimize returns on investment and enhance brand value by meeting consumer needs while minimizing excess inventory. It revolves around ensuring the correct product is available at the appropriate time, location, quantity, and price point.

Fashion specific capabilities matter. Introducing new products is exceptionally difficult for fashion retailers because the new products have no historical sales data to guide decisions for the buying quantity and the ranging decisions of the new products. Thus, retailers usually use product attributes to describe their new products and infer from those how likely these products could perform based on the performance of products with similar attributes in the past. RFPs should require vendors to demonstrate how their platform handles style, colour and size matrices, seasonal versus never out of stock merchandise, and pre-order workflows.

How should fashion retailers evaluate integration requirements?

Only 17 per cent of respondents have fully integrated ERP. Nearly 40 per cent say there is limited integration across all business functions. Integration architecture is the single most common deal breaker in fashion retail software selection. API and integration keywords appeared in 21.4 per cent of RFPs analyzed, making technical implementation reality a key evaluation factor.

RFPs should specify required integrations across three layers. The first is ERP and financial systems for budget and purchase order synchronisation. Retailers must fully integrate their systems, ERP, POS, e-commerce, and other third-party tools, to enable accurate, real-time stock tracking across stores, DCs, and online channels. Success hinges on choosing the right core platform that allows data to flow seamlessly across different parts of the business. The second is point of sale and e-commerce platforms for sales and inventory visibility. Omnichannel means one stock pool for the store, online shop and sales portals such as Zalando, Shopify or Shopware, with automatic stock synchronisation and clean returns handling. The third layer is product lifecycle management and supplier systems for design to delivery workflows.

Retailers should require vendors to document integration methods, whether native connectors, third party middleware or custom APIs, and to provide reference implementations with similar system landscapes. Nearly 60 per cent use cloud-based or hybrid ERP solutions yet concerns over integrating cloud ERP with existing legacy systems remain a significant challenge. This implies that retailers are looking for more agile cloud-based solutions to help them integrate existing systems and scale as they grow.

What AI and analytics capabilities should be evaluated?

A McKinsey analysis projects that the global fashion industry will once again post low single-digit growth in 2026. Heightened macroeconomic volatility is expected to continue to weigh on sentiment and drive value-conscious consumer behavior. In this environment, AI driven demand forecasting and allocation optimisation become competitive differentiators rather than optional features.

About 90 per cent of projects have stalled at the pilot phase, but frontrunners and leaders are continuing to push through into pilot and production. This implementation gap makes vendor AI maturity a critical evaluation criterion. RFPs should ask vendors to demonstrate rather than describe their AI capabilities, with specific emphasis on demand forecasting accuracy for new products, automated store clustering based on selling patterns, markdown optimisation tied to inventory ageing, and allocation recommendations that balance stock cover and sales velocity.

When design, sourcing, planning and commerce are joined by common data, AI can support scenario modelling, capacity decisions and better product performance. Retailers should evaluate whether AI features operate as standalone tools or integrate across the planning workflow. Vendors should provide accuracy metrics, training data requirements, and examples of how their models handle seasonal fashion categories with short selling windows.

How should retailers structure vendor evaluation criteria?

A structured vendor evaluation process helps retailers make objective technology decisions. Choosing scalable infrastructure today reduces costly migrations as your Retail Media Network grows. Procurement teams should use weighted scorecards that allow direct, side by side comparison of competing vendors across functional, technical and commercial dimensions.

Generally, you want to end up with three qualified vendors to choose from. With that in mind, use your market research to select a short list of about six vendors to invite to your RFP. Retailers should conduct market research before issuing RFPs to ensure the shortlist includes vendors with proven implementations in comparable retail segments.

What implementation and support criteria matter most?

Implementation timelines and total cost of ownership often determine actual return on investment more than feature lists. Selecting a vendor should take a long time and involve multiple meetings and lots of conversations. RFPs should require vendors to provide implementation plans that preserve business continuity, particularly during peak trading periods.

Critical implementation criteria include data migration strategy with validation checkpoints, training programmes for merchandisers, planners and finance teams, phased rollout options that allow pilot departments before full deployment, and post go live support escalation procedures for revenue impacting incidents. Vendors should document change management methodology and provide reference customers who can speak to implementation experience.

The global retail assortment planning software market was valued at USD 2.29 billion in 2024 and is forecast to reach USD 5.8 billion by 2035, growing at an 8.8 per cent CAGR through 2035. This growth is driving consolidation and product evolution. Retailers should evaluate vendor roadmaps and R&D investment to assess platform longevity. Questions about ownership structure, customer retention rates and annual platform updates help identify stable long term partners.

What questions should fashion retailers ask during vendor demos?

Demonstration sessions should focus on use cases specific to fashion retail workflows rather than generic product tours. Retailers should prepare scenarios based on their actual planning calendar and ask vendors to walk through the complete process from initial budget setting through to in season allocation adjustments.

• How does the system handle a new seasonal collection with 80 per cent new styles and limited historical data?
• Show the workflow for adjusting open to buy mid season when a category is outperforming plan.
• How do merchandisers and finance teams collaborate when building bottom up assortment plans that must reconcile to top down financial targets?
• Demonstrate store clustering logic and how localised assortments are created and maintained.
• Walk through the integration touchpoints with our existing ERP and show actual data flows, not architecture diagrams.
• What reports and dashboards do your fashion retail customers use daily versus weekly versus monthly?
• How does the system support pre-season range planning and in-season reforecasting in the same environment?

The best way to prevent a new ESP selection based on the wrong reasons is to use a scorecard driven process that allows for direct, side by side comparisons of the competing vendors. Use scorecards that cover features and functionality, services, and pricing. All evaluation team members should score demos independently using the same rubric to ensure objective comparison.