Cordial Launches Cordial Edge–Multimodal AI Boosts Marketing-Driven Purchases by Over 35% for Enterprise Retail Brands

Purchase-based brand models eliminate marketing guesswork

Warma leader in messaging for enterprise retail marketing teams, announced Cordial Edge™, a first-of-its-kind multi-modal AI technology that generates the most relevant brand-specific models to help enterprise retail marketing teams increase purchases and overcome imposed constraints. incomplete data and guesswork.

Cordial Edge models set a new standard by providing unique, purpose-built solutions tailored to individual retail brands, designed to drive purchases instead of optimizing for short-term opens and clicks. Cordial Edge is also the first to use multimodal AI that looks at multiple types of data simultaneously, allowing marketers to optimize every aspect of the marketing message – brand creative, illustrations, photos and text – as opposed to the text-only focus of the latest AI tools .

Cordial Edge AI models have data scalability to include almost unlimited amounts of structured and unstructured data, so models can optimize reporting performance from a complete data set for the first time. This complete data picture enables marketing teams to cut through the guesswork and manual A/B testing, understand why messages are working, and immediately adapt to increase and scale performance.

“We are focused on becoming a best-in-class DTC retailer, and that starts with putting the consumer at the center of everything we do,” he said Jason GowansChief Digital Officer at Levi Strauss & Co. “From product discovery to checkout and every interaction in between, we must deliver memorable and personalized experiences at every moment of the shopping journey. By leveraging Cordial’s Edge AI solution, we are keeping the Levi’s® brand at the forefront of shoppers around the world while delivering meaningful business results.”

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EARLY CUSTOMER RESULTS

Early customers of Cordial Edge AI models have seen significant benefits. Examples:

• 38% increase in revenue (Tillys)
• Double Income (Edible Arrangement)
• 3.2 times increase in sales (Snipes)

“We’re proud to partner with the world’s leading retail brands to redefine what’s possible in personalization,” he said Jeremy SwiftCEO at Cordial. “Our clients understand that every customer relationship is unique and demand technology that reflects that. That’s why we’ve developed Cordial Edge – an AI that takes the guesswork out of it by creating bespoke buy-based models tailored to each brand, enabling marketers to deliver real results at scale.”

USE CASES

Cordial Edge opens up new ways for retailers to improve marketing performance, including:

• Extensive product recommendations: Legacy marketing tools limit recommendations to data about products customers have purchased or viewed, often forcing marketers to guess categories and affinities. Cordial Edge drives more relevant product recommendations based on message performance data across all customers and identifies incremental cross-selling opportunities for which the merchant does not have complete data.
• Experiential clientele: Legacy marketing tools only use structured data from online, point-of-sale, and client applications. Cordial Edge also includes unstructured notes from store associates and web chat transcripts to uncover new influencer patterns and suggest additional ways to increase purchases.
• Income based planning: Traditional platforms suggest the best time to send an offer based on simplified click and open history. Instead, Cordial Edge anchors purchase history, resulting in more efficient revenue growth. This ensures that each message is delivered at the exact moment each customer is most likely to purchase rather than just engage.
• Data-driven creative: Traditional marketing teams relied on one-by-one A/B tests to refine brand creative, imagery and content. Cordial Edge’s multimodal models analyze millions of customers and messages to uncover patterns that influence purchase responses across all of these elements.
• Promotion by location: Cordial’s ability to use unstructured real-time location data enables marketing teams to send the most effective promotions to mobile app users based on their location in a brick-and-mortar store or their proximity to a brand or competitor’s store, combined with structured data about purchases, loyalty and preferences

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TECHNOLOGY

Cordial has developed Edge models to help retail brands deliver the most effective campaigns. These models outperform other technologies because they can consume unlimited amounts of data without a pre-defined schema, unlocking every opportunity for optimization revealed by the data—not just a vendor or marketing team’s guesses about what might drive purchases. No data preparation or normalization is required, making deployment faster and more flexible.

Cordial’s scalability makes AI more relevant to every marketing team today. Cordial Edge deploys significantly faster, taking a few hours to initially generate a model and updating its score daily. As a result, the model evolves as customers change and as brands introduce or discontinue products, marketing programs and promotions – without the need for manual re-engineering.

Cordial Edge’s key innovation is its ability to leverage multimodal AI, integrating structured data – such as CRM, eCommerce and loyalty metrics – with unstructured data, including conversation logs, reviews and free-form notes in client applications. This end-to-end approach enables retail marketers to create campaigns that consider the full context of each customer interaction, mixing images and text for maximum insight and impact.

In addition, Cordial Edge includes Mixture of Experts (MoE) for dynamically assigning tasks to specialized sub-models optimized for specific data types or marketing scenarios. This architecture ensures unmatched accuracy and efficiency, enabling brands to leverage the right expertise for every input.

“We set out to build the most effective AI for retail marketing teams, and we knew it would require multimodal AI that considered the entire message, images and text. It also requires a data architecture that does not limit data by volume or type,” he said Matt Howlandchief product and technical officer at Cordial. “And each brand is unique, with unique customers, programs and data, so fitting each brand into a single AI model and schema would hold back what AI can deliver. We are thrilled that Cordial Edge is already delivering increased revenue to its first customers.”