How Product/SKU Analytics Can Transform Your Product Assortment Strategy for Maximum ROI
- Graas
- Mar 27
- 6 min read
Updated: Apr 7
Struggling with slow-moving inventory? Tired of stockouts on bestsellers? Unsure which products will actually drive profits?
For omnichannel eCommerce businesses, assortment strategy isn’t just about what you sell—it’s about selling the right products, at the right time, across the right channels.
Get it wrong, and you’re stuck with:
Deadstock eating up warehouse space
Overstock draining your cash flow
Lost sales due to poor inventory planning
The stakes are high. Every SKU decision impacts revenue, margins, and customer experience.
But getting it right isn’t easy. Consumer trends shift rapidly, the competition is not slowing down, and managing inventory across platforms is still a nightmare.
That’s where product and SKU analytics come in.
In this guide, we’ll cover:
Why product assortment planning is harder than it seems.
The key metrics every brand should track.
How Graas’ product/SKU analytics can help you make smarter decisions for profitable growth.
Let’s dive right in!
The Complexity of Multi-Platform Product Assortment
Managing product assortment across multiple platforms is no small feat. It’s not just about having the right products — it’s about understanding how different platforms, regions, and seasons influence demand.
For omnichannel businesses, this complexity can feel overwhelming. Let’s break it down.
1. Diverse Platform Demands
Every platform has its own set of rules. Shopee shoppers often prioritize deals and discounts, while Lazada might attract more premium buyers. On your D2C website, customers expect an immersive brand experience, often caring more about your story and values than simply finding the lowest price.
Then there’s the challenge of platform algorithms. What sells on Shopee may struggle to gain visibility on Lazada. Each algorithm has its own preferences — from product title structures to keyword relevance and seller ratings. Without tailored strategies, even your best products could get buried in search results.
Pricing is another tightrope. A competitive price on Shopee might seem suspiciously low on Lazada, damaging brand perception. On your D2C store, premium pricing may be justified by exclusive offerings or personalized experiences. Aligning pricing across channels while maintaining brand equity is an ongoing balancing act.
2. Regional Variability: The Fragmented Market Challenge
Selling across Southeast Asia? Prepare to incorporate hyper-local preferences. Consumer behavior in Singapore is worlds apart from rural Indonesia. While urban shoppers may chase convenience and premium products, rural buyers often prioritize affordability and practicality.
Infrastructure also plays a huge role. Faster logistics in cities make same-day or next-day delivery a norm. Meanwhile, in remote regions, longer delivery times influence buying decisions. These logistical constraints shape how you stock and price products in different areas.
Even within a single country, micro-markets emerge. Jakarta’s fashion-forward crowd might embrace the latest trends, while consumers in Surabaya may prefer essentials and value-driven purchases. Without granular insights, a one-size-fits-all assortment strategy can lead to disappointing sales and excess inventory.
3. The Seasonal Demand Waves
Asia’s retail calendar is packed with mega sales events — think Double Digit Sales 9.9, 11.11, and Lunar New Year. Each platform pushes its own promotions, and shoppers flock to snag the best deals. For brands, this creates both opportunity and chaos.
Predicting demand during these events requires more than guesswork. While historical data is useful, consumer preferences shift quickly. Competitor promotions, economic factors, and viral trends all influence what sells. Advanced predictive analytics can help forecast demand and prevent stockouts or overstocking.
Keeping inventory synchronized across platforms is another challenge. Running out of stock on one channel can hurt your ranking in platform algorithms. Worse, overselling can lead to canceled orders and unhappy customers. Real-time inventory tracking and agile fulfillment systems are essential to stay competitive.
Understanding these complexities is the first step. With the right product analytics, brands can turn these challenges into strategic opportunities — optimizing product mix, minimizing losses, and maximizing ROI.
4 Key Metrics SKU Analytics Deliver
Understanding which products to scale, which to phase out, and how to allocate resources requires more than gut instinct.
That’s where SKU analytics come in. Let’s explore the key metrics that drive smarter decisions.
1. Traffic, Orders Placed, and SKUs Sold
Understanding how consumers interact with your products is crucial for refining your assortment strategy.
Traffic indicates product visibility, highlighting which SKUs attract interest.
Orders placed measure actual purchase intent, revealing product-market fit.
SKUs sold provide insights into sales velocity and product popularity.
By analyzing these metrics, brands can identify high-performing products to scale, spot underperforming SKUs for reassessment, and optimize pricing or promotions.
With eCommerce analytics platforms like Graas, real-time tracking of these metrics ensures swift adjustments, preventing inventory buildup and capitalizing on emerging sales trends across platforms.
2. GMV Contribution per SKU
Not all SKUs contribute equally to your bottom line. Gross Merchandise Value (GMV) per SKU helps you see which products drive the most revenue. Identifying these high-impact products lets you make smarter choices — like doubling down on marketing for bestsellers or bundling low-performing SKUs with winners.
By tracking GMV contribution, brands can confidently allocate resources where they’ll make the most impact. You’ll know where to invest in promotions, which products to feature during mega sales, and which ones may not be worth the shelf space.
3. Product Grade and Cancellations
Understanding product grading helps brands optimize their assortment by focusing on the right SKUs.
A-grade products, which generate the bulk of revenue, should be prioritized for expansion and multi-platform scaling. B-grade products have growth potential—strategic promotions or bundling can push them into top-performing status. C-grade products, which contribute the least, may need discounting, repositioning, or removal to streamline inventory.
Cancellations, on the other hand, show flaws in the assortment strategy. High cancellation rates indicate mismatched consumer expectations, poor product-market fit, or fulfillment issues.
By analyzing what your top performers are and what doesn’t match the expectation, brands can refine their SKU selection, improve listings, and align supply with real demand.
4. Inventory Turnover
Inventory turnover measures how fast products move through your supply chain. High turnover rates indicate strong demand and efficient operations. Low turnover, on the other hand, suggests deadstock or poor demand forecasting.
Balancing sell-through rates with turnover data allows brands to optimize procurement, minimize warehousing costs, and ensure fresh products on shelves. When turnover and sales align, you free up capital, reduce waste, and create a leaner supply chain.
By connecting these metrics, brands turn data into actionable insights. Assortment decisions shift from guesswork to precision, driving maximum ROI across all channels.
How Graas’ Product / SKUs Analytics Powers Multi-Platform Success
Navigating the complexities of product assortment becomes quite easy with Graas' Product & SKU Analytics. No guesswork, only actionable insights that drive smarter decisions. From platform-specific adjustments to real-time responsiveness, Graas allows brands to maximize ROI with data-backed strategies.
1. Platform-Specific Optimization
Every platform operates like its own digital space, with unique buyer behaviors and algorithmic quirks. Graas decodes these complexities, offering platform-specific insights that help brands fine-tune their product assortment.
Shopee’s bargain hunters respond differently than Lazada’s premium shoppers. A pricing strategy that succeeds on one platform might fail on another. Graas identifies these differences, analyzing conversion triggers, price sensitivity, and buying behavior to provide tailored recommendations. Brands can optimize product listings, visuals, and pricing for each platform. This ensures brands get maximum visibility and conversions.
With Graas, inventory levels can also be dynamically adjusted based on platform demand. Products that fly off the shelves on Lazada might sit untouched on Shopee. By understanding these patterns, brands can balance inventory and prevent stockouts. Promotions and product bundles can also be tailored to meet the expectations of each platform’s consumer base, further enhancing ROI.
2. Dynamic Adjustments
If your timing is off, your assortment strategy will always have some leaks. Trends shift rapidly, and consumer sentiment can change overnight. Graas offers real-time insights that allow brands to stay one step ahead. Whether it’s a surge in demand during a flash sale or an unexpected competitor price drop, Graas detects these shifts immediately.
With real-time performance tracking, brands can adjust product visibility, pricing, and promotions mid-campaign. Predictive alerts notify businesses of potential stockouts, while inventory redistribution recommendations ensure products are available where they’re most needed.
This agility is especially critical during major sales events when demand spikes and marketplaces become fiercely competitive. Graas' adaptive pricing models also ensure that brands remain competitive without compromising margins.
3. Market Gap Discovery
Graas goes beyond reacting to market changes — it helps brands anticipate them. It helps brands find underserved product categories, predict emerging consumer demands, and evaluate the feasibility of launching new SKUs.
This predictive insight enables businesses to innovate with confidence. Instead of taking risks based on intuition, they can rely on Graas' data-driven product-market fit scoring.
Brands can identify opportunities for region-specific product adaptations, develop complementary products, or introduce premium offerings to capture more market share. By staying proactive, companies reduce the risk of failed product launches and ensure their assortment remains aligned with consumer demand.
With Graas, product assortment becomes a more predictive and intelligent strategy. From platform-specific precision to real-time agility, brands are empowered to make smarter decisions.
The result is a more efficient inventory, higher sell-through rates, and a stronger competitive edge in the industry.
Conclusion
With Graas’ SKU analytics, your assortment strategy becomes a precision-driven engine. Real-time data reveals which products drive revenue, while predictive insights uncover emerging opportunities.
Platform-specific optimization ensures you meet demand across every channel. Inventory moves faster, reducing overstock and stockouts. Pricing stays competitive without sacrificing margins.
No more guesswork — just smarter decisions and maximized ROI.
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