Leading Brands Use Coveo AI to Transform their Ecommerce Product Discovery and Accelerate Revenue Growth
Caleres,
The Coveo 2025 Commerce Relevance report, a survey of 4,000 adults across the US and
"Too often, online experiences are frustrating and unproductive for customers. In today's digital landscape, businesses win or lose based on the precision, speed, and intelligence of their online experience," said
Caleres Steps into the Future of Ecommerce with Advanced Search and Discovery
Caleres is one of the most successful shoe retailers you've never heard of. The multi-billion
An early adopter of the web, Caleres witnessed the trends and growth of ecommerce take shape. A few years ago they identified that their search and discovery technology was not optimized to handle a complex catalog of more than 600,000 SKUs organized by color, size, width, and store availability. They were unable to adjust, test, or access data regarding on-site search, product listing pages, and product recommendations. Finally, they relied on thousands of manual rules that were time-consuming and difficult for merchandisers to maintain. For the evolution of their next generation ecommerce experience, they chose Coveo's AI platform to power their search and experience layer.
Reported results with Coveo over measured period:
- 21% increase in revenue YoY
- 25% increase in conversion rate
FleetPride Accelerates Customer Service and Drives Revenue with Enhanced Digital Presence and Data-Driven Insights
In trucking, downtime is a liability costing thousands of dollars a day. Founded in 1999,
But
Reported results with Coveo over measured period:
- 7% increase in revenue per visit for sessions
- 9.6% increase in conversion rate
- 27% increase in search engagement
Freedom Furniture Reimagines Retail with Intelligent Search and Product Discovery
Today, Freedom is rewriting the rules of retail with a bold digital transformation. By revamping its ecommerce platform, integrating a dropshipping model, and adopting AI-driven search and product discovery, the company has redefined both its in-store and online shopping experiences. These changes combined with innovative omnichannel strategies, ensure Freedom is delivering a customer-centered experience, offering an endless aisle of possibilities and limitless choice.
Reported results with Coveo in the first 30 days:
- 5.5% uplift in average order value (AOV)
- 15% increase in customer sessions with search
- 50% decrease in merchandising effort
By providing customers with the right information at the right time, Coveo empowers businesses to create exceptional online experiences that drive customer satisfaction, foster long-term loyalty, and directly impact the bottom line.
Discover Coveo AI CX solution at www.coveo.com
About Coveo
Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect with their customers and employees to maximize business outcomes.
Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person's journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products.
Our Coveo AI-Relevance™ Platform enables enterprises to deliver hyper-personalization at every point-of-experience, unifying all their data securely, with the highest level of contextual and prescriptive accuracy while simultaneously optimizing business outcomes.
Coveo brings AI-Relevance to the digital experiences of many of the world's premier and most innovative brands, serving millions of people across billions of interactions.
What we believe is bold: Digital is everywhere, Relevance is not. It's the only way to win in the digital age.
The Coveo AI-Relevance Platform is ISO 27001 and ISO 27018 certified, SOC2 compliant, HIPAA compatible, with a 99.999% SLA available. We are a Salesforce ISV Partner, an SAP EndorsedⓇ App, AWS ISV Accelerate Program member, an Adobe Gold Partner,
Stay up to date on the latest Coveo news and content by subscribing to the Coveo blog, and following Coveo on LinkedIn and YouTube.
Forward-Looking Information
This press release contains "forward-looking information" and "forward-looking statements" within the meaning of applicable securities laws (collectively, "forward-looking information"). This forward-looking information is identified by the use of terms and phrases such as "may", "would", "should", "could", "might", "will", "achieve", "occur", "expect", "intend", "estimate", "anticipate", "plan", "foresee", "believe", "continue", "target", "opportunity", "strategy", "scheduled", "outlook", "forecast", "projection", or "prospect", the negative of these terms and similar terminology, including references to assumptions, although not all forward-looking information contains these terms and phrases. In addition, any statements that refer to expectations, intentions, projections, or other characterizations of future events or circumstances contain forward-looking information. Statements containing forward-looking information are not historical facts but instead represent management's expectations, estimates, and projections regarding future events or circumstances.
Case Studies Data
Reported metrics estimates in customer stories were formulated after A/B testing and reflect the estimated benefits to the selected customers based on feedback received from such customers and data reported by them for periods selected. These estimates are limited by the scaling factors of extrapolating these results from the specific project scope of each deployment across the customer's business and/or project. Time periods used to formulate the estimates may vary between customers and depend on each customer's own situation, use case and deployment. The definitions of the performance indicators used herein, and how they are calculated and reported, may also vary between customers, and therefore, actual and reported results achieved by customers may vary between customers.
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