Imagine walking into a grocery store and finding exactly what you need – the freshest produce, your favorite brands, and every item on your list – all perfectly stocked. That's the magic of assortment optimization in action! According to the Harvard Business Review study, the benefits of effective assortment planning are undeniable: 30% reduction in markdowns, 10% increase in sales, and 20% reduction in excess inventory. The numbers speak for themselves: by offering the right products at the right time, retailers can minimize stockouts, reduce waste, maximize profitability, and create more customer satisfaction.
How do you achieve this harmony between customer expectations and business profitability with assortment optimization? Our guide will explain its steps, successful strategies, and essential tools.
Key Takeaways
Assortment optimization ensures the right products are stocked to meet demand and profitability goals.
Balances variety vs inventory costs.
Targets local customer needs.
Uses data to drop poor performers.
Enables strategic SKU rationalization.
Adapts faster to trends.
What Is Assortment Optimization?
Assortment optimization is a crucial aspect of retail merchandising that involves determining the right mix of customer products. It selects and organises a range of products at a particular store or online platform.
To create effective assortment strategies, retailers must carefully analyze market trends, customer preferences, and sales data. This involves conducting market research, studying competitor offerings, and understanding the target audience's shopping habits. By gathering this information, retailers can identify the best-selling products, emerging trends, and potential gaps in their product assortment.
As the example of grocery retail assortment optimization, the store carefully selects fruits and vegetables, balancing mainstream and seasonal products and offering organic and conventional options. This strategic approach allows the store to meet the different preferences and dietary needs of customers, optimize sales and increase customer satisfaction.
How to get started with assortment optimization?
Picture filling your shelves just by guessing – that's what it's like without using data to plan your product mix. Here are some practical tips to guide you in starting with a customer-centric assortments plan. Analyze customer demographics, seasonal trends, and past product performance. Recognize that perfectly predicting demand is unrealistic. Focus on creating an actionable plan that maximizes your current knowledge.
Start with smaller, achievable goals like optimizing a specific product category or boosting sales in a particular store. Ensure your supply chain supports your plan. Long lead times or limited supplier capacity can disrupt your strategy. If you're considering multichannel retailing, consider revamping your supply chain to deliver the right products to the right places at the correct times.
What are the 5 steps in preparing an assortment optimization plan?
- Know Your Target & Goals. Start by understanding your ideal customer and your overall business objectives.
- Data Dive. Analyze past sales data, identify seasonal trends, and even peek at competitor insights. This information reveals what styles, colors, and sizes have been hot sellers and what's currently generating buzz.
- Curate Your Mix. Curate a balanced product mix that caters to your audience. This means determining the perfect quantity of each item for each store or online channel.
- Stock & Replenish. Develop a merchandise assortment plan to allocate inventory across your various sales channels. Set reorder points to avoid stockouts.
- Adapt & Refine. Track sales performance and be ready to tweak your retail assortment strategy as needed throughout the season.
What Does Assortment Optimization Include?
Here is a breakdown of essential elements that go into building a winning assortment planning in retail.
Product Assortment Balance
- Variety/Variation: This refers to the breadth of your product offerings within a specific category.
- Seasonal Trends: Include some trendier pieces alongside timeless staples to stay relevant.
Tools and Methods
- Consumer Segmentation: Group customers with similar needs and preferences based on demographics, interests, or spending habits.
- Store Clustering: Group stores with similar sales volume and customer profiles together.
- Consumer Decision Trees: By visualizing their thought process, you can ensure your assortment layout facilitates easy navigation and product discovery.
- Assortment Planning Software: Modern retailers leverage specialized assortment planning software. These tools integrate sales statistics, historical trends, and product information to help optimize assortments for each channel and location.
6 Assortment Optimization Tips
As the next season approaches, retailers have a critical opportunity to optimize their assortment to increase sales and establish a competitive edge. Here are six main assortment planning optimization tips to refine your product offerings and ensure success in the coming months.
#1: Learn from History
Analyze past revenue data (2-3 years) to identify bestsellers, customer preferences (color, size), and top-performing stores/channels. Stock what sells and cater to proven customer tastes.
#2: Know Your Customers
Understand your target audience (demographics, segmentation). Are they young professionals, budget-conscious families, or fashionistas? With the customer centric assortments, you can tailor your separate assortment plans to resonate with their needs and preferences.
#3: Balance & Innovation
Offer a mix of timeless staples and trendy pieces to keep your brand fresh. The right software allows you to compare different models (wide vs. deep) and select the one that maximizes profitability.
#4: Simplify with Clustering
Group stores with similar sales volume or customer profiles. Create targeted assortment plans for each cluster, ensuring each retail store caters to its specific clientele.
#5: Cross-Merchandise for Success
Analyze past purchase records to identify complementary items. A store selling kids' sneakers for back-to-school might also stock sweatpants for a convenient shopping experience. Machine learning assortment planning software can analyze vast amounts of sales data to identify these trends faster and more accurately.
#6: The Power of Impulse Buys
A well-placed, irresistible item can significantly impact your bottom line. Consider adding a selection of low-cost, trendy accessories. These impulse buys can entice customers to spend a little extra and boost your overall sales figures.
And let's not forget to leverage the power of assortment planning optimization software to gather data and analyze trends. This will empower you to create data-driven assortments that cater to diverse customer preferences and ultimately maximize sales throughout the season.
Assortment Planning Models
While there's no one-size-fits-all approach, many fashion retailers build their assortment plans around these core models:
Deep Selection
This business model often focuses on fewer product styles but offers a wider variety within each style, like different brands, colors, and sizes. Boutiques and speciality stores frequently leverage this approach to cater to specific customer needs.
Wide Variety
This model offers a vast selection of products and styles, catering to diverse client preferences. It's ideal for large stores and national chains that can stock a broader range of merchandise.
Local Focus
This model incorporates products from local artisans or vendors. An example is when fashion retailers might carry handcrafted jewelry or locally designed t-shirts, adding a unique touch to their assortment and supporting the local community.
Strategic Diversification
This model allows retailers to experiment with products outside their core offerings. For instance, a sportswear store might include protein bars, supplements, or discounted gym memberships alongside their apparel.
Mass Market Approach
This model combines width and depth, with most sophisticated retailers offering various products with numerous variations within each category. National chains with extensive shelf space and online platforms might use this approach, providing customers with a comprehensive selection.
Additional Considerations:
- Market Research
- Data Analysis
- Flexibility
- Collaboration
The main takeaway is that effective assortment management in fashion retail requires flexibility and an understanding of the target market to meet diverse customer needs and adapt to market changes, using various assortment retail planning models depending on the type and size of the store.
Simplify and Optimize Assortment Planning with LEAFIO AI
Retailers face the challenge of aligning their product offerings with consumer preferences, sales trends, and operational capabilities. LEAFIO Assortment Performance Software offers cutting-edge tools designed to optimize your retail operations.
Here are the core advantages of experiencing LEAFIO Assortment Performance:
- Strategic Assortment Planning: The platform enables retailers to create and regularly monitor category strategies, ensuring alignment with business objectives. LEAFIO's system highlights focus areas to achieve strategic goals, facilitating effective merchandise planning.
- Operational Excellence: LEAFIO AI and machine learning tools intelligent tools streamline retail operations, encompassing inventory management and store clustering. The platform's intelligent automatic clustering allows for rapid adjustments and precise store group management, enhancing operational efficiency.
- Assortment Optimization: Retailers can utilize LEAFIO's comprehensive toolset for holistic category management, covering planning, analysis, adaptation, and optimization phases to ensure higher customer satisfaction.
- Informed Decision-Making: The platform empowers retailers to make data-driven decisions based on consumer preferences by diving deep into category levels, analyzing SKU performance, identifying underperforming products, and assessing new product success.
- Retail Analytics: LEAFIO provides detailed retail assortment analysis, offering reports on sales dynamics, supplier and customer analysis, balances, new products, and lost sales.
- User-Friendly Interface: With a convenient and accessible interface, LEAFIO ensures that retail professionals can quickly access and interpret sales statistics and category status, easily making informed decisions.
What are the three elements of the assortment optimization process?
There are more than three elements to the ideal assortment planning process, but three of the most important ones are
- Demand Forecasting. This involves analyzing historical sales statistics, customer demographics, and industry trends to predict future demand for specific products.
- Product Selection. Based on the demand forecast, retailers choose the products they will offer in their stores. This includes the style, color, size, brand, and price point.
- Inventory Management. Once the product selection is finalized, retailers must determine the optimal stock levels for each item at each store location. This involves balancing factors like carrying costs, potential stockouts, and sales opportunities.
Have a question?
Have inquiries about retail automation or optimization? Talk to our expert for solutions!
Andrew Max
End-to-end merchandising process expert
