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

Brand-specific, procurement-driven models eliminate marketing guesswork

Cordialthe messaging leader for enterprise marketing teams, announced Cordial Edge™, a first-of-its-kind multimodal AI technology that generates the most relevant and brand-specific models to help enterprise marketing teams to increase purchases and overcome the limitations imposed. from incomplete data and assumptions.

Cordial Edge models set a new standard by offering unique, purpose-built solutions tailored to individual retail brands, designed to drive purchases rather than optimizing for short-term opens and clicks. Cordial Edge is also the first to use multimodal AI, which looks at multiple types of data simultaneously, allowing marketers to optimize every aspect of a marketing message – creative branding, illustrations, photography and text – as opposed to focusing text only of the current majority. AI tools.

Cordial Edge AI models have the data scalability to include an almost unlimited amount of structured and unstructured data, so models can optimize message performance from a complete set of data for the first time. This comprehensive data picture enables marketing teams to move beyond guesswork and manual A/B testing, understand why messages are performing, and instantly 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 will deliver memorable and personalized experiences at every point of the shopping journey. By leveraging Cordial’s Edge AI solutions, we will keep the Levi’s® brand front and center for buyers around the world, as we drive significant business results.

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PREMIUM CUSTOMER RESULTS

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

• 38% increase in revenue (Tillys)
• 2X increase in revenue (Edible Arrangements)
• 3.2X increase in revenue (Snipes)

“We’re proud to partner with the world’s biggest retail brands to redefine what’s possible in personalization,” he said. Jeremy SwiftCEO of Cordial. “Our customers understand that every customer relationship is unique, and they demand technology that reflects this. That’s why we developed Cordial Edge – AI that removes the guesswork by creating personalized, purchase-based models tailored for each brand , enabling marketers to deliver real results at scale.”

USE CASES

Cordial Edge unlocks 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 browsed, often forcing marketers to guess at categories and affinities. Cordial Edge drives more relevant product recommendations based on message performance data across customers, uncovering incremental cross-sell opportunities for which a marketer lacks comprehensive data.
• Experimental clienteling: Legacy marketing tools only use structured data from online apps, points of sale, and clienteling. Cordial Edge also includes notes associated with unstructured stores and web chat transcripts to uncover new patterns of impact and suggest additional ways to increase purchases.
• Revenue Based Scheduling: Traditional platforms suggest the best time to send an offer based on simplistic clicks and open history. Cordial Edge instead anchors on purchase history, leading to more efficient increases in revenue. This ensures that each message is sent at the precise moment when each customer is most likely to make a purchase, rather than just engage.
• Data-driven creative: Traditional marketing teams have relied on A/B testing one by one to refine brand creativity, image and content. Cordial Edge’s multimodal models analyze millions of customers and messages to uncover patterns that drive purchase responses across all of these elements.
• Location based promotion: Cordial’s ability to consume unstructured real-time location data enables marketing teams to send the most impactful promotions to mobile app users based on their aisle-by-aisle location in a physical store or by its proximity to the point of sale of a brand or a competitor, combined with structured data on purchases, loyalty and preferences

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TECHNOLOGY

Cordial has developed Edge templates to help retail brands deliver the most effective campaigns. These models outperform other technologies because they can consume unlimited amounts of data, with no predefined schema, unlocking every optimization opportunity revealed by the data, not just a salesperson’s or a marketing team’s guess about what might increase and purchase No data preparation or normalization is required, making implementation faster and more flexible.

Cordial’s scalability makes AI more relevant to every marketing team today. Cordial Edge is significantly faster to implement, performing initial model generation in hours and updating its scores daily. As a result, the model evolves as customers change and as brands launch or discontinue products, marketing programs and promotions – without any manual reworking required.

A key innovation of Cordial Edge is its ability to leverage multimodal AI, integrating structured data – such as CRM, eCommerce and loyalty metrics – with unstructured data, including chat logs, reviews and free-form in-app notes of clientele. This comprehensive approach allows retail marketers to craft campaigns that consider the full context of each customer interaction, blending images and text for maximum insight and impact.

In addition, Cordial Edge incorporates Mixture of Experts (MoE) to dynamically assign tasks to specialized sub-models optimized for specific data types or marketing scenarios. This architecture ensures unparalleled accuracy and efficiency, allowing brands to leverage the right expertise for each piece of input.

“We decided to build the most effective AI for sales marketing teams, and we knew it would require a multimodal AI that considers the entire message, both images and text. It also requires a data architecture that don’t limit data by volume or type,” he said Matt HowlandCordial’s Chief Product & Engineering Officer. “And every brand is unique, with unique customers, programs and data, so combining each brand into a one-size-fits-all AI model and framework will unlock what AI can deliver. We’re excited to see Cordial Edge already performing of higher revenues for their first customers.”