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Imagine a customer lands on your website, eager to purchase an item they’ve seen advertised, only to be met with the frustration of it being impossible to locate on the site, unavailable in their size, or out of stock altogether.
This experience doesn’t only result in a lost sale; it creates serious friction, eroding customer loyalty and leading to missed opportunities for your business.
Without the right systems in place, retailers struggle to optimize product placement and recommendations, leading to missed opportunities and suboptimal shopping experiences for customers.
In today’s increasingly competitive ecommerce landscape, where customers have heightened expectations for personalization, the ability to dynamically manage and optimize product discoverability is critical.
EDITED’s Retail Intelligence AI provides signals to retailers’ systems to optimize the boost and bury strategy.
By embracing these tools, retailers can move beyond reactive merchandising to a proactive, data-driven approach that not only addresses immediate challenges, but also positions them for sustained growth and a smarter, more customer-centric strategy.
When optimizing your site, there are certain questions every retailer needs to answer:
1. What items should I boost or bury in category, search, and recommendation sorts?
2. What actions can I automate to optimize web sorting strategies to enhance product discoverability and conversion?
3. Are the products my customers are looking for available? How can I manage inventory effectively by aligning stock levels to demand?
4. Am I promoting the right products together to increase AOV?
EDITED’s AI-optimized data signals increase accuracy and site optimization through intelligent boost and bury suggestions, allowing retailers to move quickly and back their choices with real-time data.
A robust retail intelligence tool can help you with:
Intelligent Site Sorting Automation: By using AI for retail, you can access tools that automatically send signals to improve boot/bury based on a multitude of dynamic rules. This could include factors like profitability, real-time stock status, return rates, customer ratings, and even trending searches. This ensures that your prime digital real estate is always occupied by products that align with your business goals and customer demand, in real time.
Actionable Exposure Opportunities: AI provides actionable insights. Through smart boost/bury analysis, you gain a holistic view that balances inventory availability with profitability goals. This ensures you’re showcasing the right products at the right time to the right customers. You can see “exposure opportunities” – products that have high potential but are currently underperforming in visibility – and get recommendations to boost them.
Sophisticated Basket Analysis: Understanding what customers are buying together is foundational to effective cross-selling and up-selling. AI-driven basket analysis uncovers purchasing patterns to help you refine product recommendations and strategically place complementary items closer to each other on the site. This not only enhances the customer experience but also drives larger basket sizes and increased revenue.
Now isn’t the time to leave your site merchandising and product discovery up to chance by using tools that only take sales data into account.
To combat the consumer spending slowdown and economic uncertainty, you need a tool that connects sales data with what’s going on in the market, what your best customers want, and how much stock cover you have.
EDITED’s AI-optimized boost and bury not only saves you time and ensures agility in reacting to changing customer behavior, but also provides strategic intelligence.
With this advanced technology, you can minimize customer frustration, maximize sales, improve inventory efficiency, and, ultimately, enhance your customers’ overall experience.
Book a demo to see how EDITED can transform your site merchandising today.
