Tailored Brands, Inc. / DEMENW

Tailored Brands is implementing AI-native analytics and end-to-end agentic flows to orchestrate work and deploy marketing capital.

“Underpinning this work is a data and operating foundation that includes powerful customer analytics, test -and -learn capabilities and leading MMM. This fuels a strong return on our marketing spend, which was approximately 5% of net sales for fiscal year 2025, while maintaining per -customer acquisition costs of less than $12 for both new and lapsed customers. We are implementing AI -native analytics and end -to -end agentic flows to orchestrate work, simplify experiences, increase speed and to deploy marketing capital with even greater precision to deepen customer relationships and brand equity. We have introduced cross -media journey mapping to coordinate content and messaging across touchpoints and are building closed -loop AI experimentation to continuously optimize triggers, offers and messaging based on measured customer response. Customers with three or more purchases represent approximately 10% of our customer base but generate approximately 20% of total sales in fiscal year 2025 and approximately 32% of polished casual sales, underscoring the value of increasing customer frequency and engagement.”

Tailored Brands uses predictive, generative and agentic AI, mostly delivered through third-party SaaS or API tools.

“Today we are well -positioned to fuel the increasing number of AI -powered data -driven applications. Building on this foundation, we are applying AI broadly to make the business more agile and customer-centric. In contrast with traditional algorithmic solutions that use explicit rules and fixed logic to automate human processes in the loop, our AI solutions learn from source data, adapt to changing context and generate new output. We use traditional AI (predictive), generative AI and now agentic AI. Most of our AI -enabled capabilities are delivered through third -party SaaS or API -based tools that we customize and integrate into our operations. The maturity of our AI adoption and integration varies across functions: merchandising and digital, for example, have effectively leveraged predictive AI for years, while functions leveraging newer generative AI engines, like marketing, are in the earlier stages of AI adoption and integration.”

Tailored Brands pipeline includes agentic shopping to support e-commerce growth.

“An elevated digital experience reflects a commitment to building world -class omni -channel experiences as we grow e -commerce channel penetration and capture market share. A strong pipeline of exciting new capabilities, including answer engine optimization and agentic shopping, promise to drive and support this channel’s rapid growth.”

Tailored Brands is implementing AI-native analytics and end-to-end agentic flows for marketing.

“Underpinning this work is a data and operating foundation that includes powerful customer analytics, test -and -learn capabilities and leading MMM. This fuels a strong return on our marketing spend, which was approximately 5% of net sales for fiscal year 2025, while maintaining per -customer acquisition costs of less than $12 for both new and lapsed customers. We are implementing AI -native analytics and end -to -end agentic flows to orchestrate work, simplify experiences, increase speed and to deploy marketing capital with even greater precision to deepen customer relationships and brand equity. We have introduced cross -media journey mapping to coordinate content and messaging across touchpoints and are building closed -loop AI experimentation to continuously optimize triggers, offers and messaging based on measured customer response. Customers with three or more purchases represent approximately 10% of our customer base but generate approximately 20% of total sales in fiscal year 2025 and approximately 32% of polished casual sales, underscoring the value of increasing customer frequency and engagement.”

Tailored Brands uses predictive, generative and agentic AI via third-party SaaS and API tools.

“Today we are well -positioned to fuel the increasing number of AI -powered data -driven applications. Building on this foundation, we are applying AI broadly to make the business more agile and customer-centric. In contrast with traditional algorithmic solutions that use explicit rules and fixed logic to automate human processes in the loop, our AI solutions learn from source data, adapt to changing context and generate new output. We use traditional AI (predictive), generative AI and now agentic AI. Most of our AI -enabled capabilities are delivered through third -party SaaS or API -based tools that we customize and integrate into our operations. The maturity of our AI adoption and integration varies across functions: merchandising and digital, for example, have effectively leveraged predictive AI for years, while functions leveraging newer generative AI engines, like marketing, are in the earlier stages of AI adoption and integration.”

Tailored Brands is building agentic shopping capabilities for its e-commerce channel.

“An elevated digital experience reflects a commitment to building world -class omni -channel experiences as we grow e -commerce channel penetration and capture market share. A strong pipeline of exciting new capabilities, including answer engine optimization and agentic shopping, promise to drive and support this channel’s rapid growth.”