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Tapestry Inc., the global house of brands encompassing Coach, Kate Spade, and Stuart Weitzman, has achieved a significant milestone in its technological advancement with the U.S. patent for Mira, its proprietary artificial intelligence (AI) platform. This internal-facing system is engineered to consolidate and analyze vast amounts of business data, delivering critical insights to employees within seconds to minutes. The patent specifically covers Mira’s core architecture, meticulously designed to align with Tapestry’s operational workflows, empowering teams across merchandising, inventory management, and consumer trend analysis with unprecedented speed and efficiency.
Fabio Luzzi, Tapestry’s Chief Data and Analytics Officer, emphasized the strategic importance of Mira, stating, "Mira is the result of years of deliberate investment in our data infrastructure. We have been building toward this, across merchandising, supply chain, finance, and retail operations, for some time." This patent underscores Tapestry’s commitment to leveraging cutting-edge technology to maintain a competitive edge in the dynamic retail landscape. The company, formerly known as Coach Inc., holds a prominent position at No. 40 in the Digital Commerce 360 Top 2000 Database, a testament to its significant annual online sales in North America.
The development and patenting of Mira represent a strategic move by Tapestry to streamline complex analytical processes that previously consumed considerable employee time and resources. Before Mira, extracting and synthesizing information from disparate data sources often involved manual efforts that could span days. The AI platform, however, acts as a powerful catalyst, collapsing this timeframe and enabling quicker, more informed decision-making.
The Genesis and Architecture of Mira
Mira was not an overnight development but rather the culmination of sustained investment in Tapestry’s data infrastructure. The company’s in-house data and analytics team conceptualized and built Mira, focusing on mirroring the intricate realities of the retail and fashion business. This bespoke approach involved training the AI on institutional knowledge and designing it to understand the nuanced language and operations specific to the industry.
"We have been building toward this, across merchandising, supply chain, finance and retail operations, for some time," Luzzi explained. This holistic approach ensures that Mira is not merely a generic AI tool but a sophisticated system deeply integrated into the fabric of Tapestry’s operations. The platform’s design prioritizes the practical needs of its users, providing actionable intelligence rather than raw data.
A crucial element of Mira’s functionality is its integration with Tapestry’s patented Global Data Fabric. This underlying infrastructure acts as a central nervous system, connecting diverse data streams from across the organization. By creating a unified view of operations, the Global Data Fabric provides Mira with the comprehensive dataset it needs to generate accurate and relevant insights. This synergy between the data fabric and the AI platform is a key differentiator, allowing for a more holistic understanding of the business.
Operationalizing AI for Retail Excellence
Tapestry’s deployment of Mira is a clear demonstration of its AI strategy in action. The platform is designed with a strong emphasis on security and controlled access. Mira operates within a secure enterprise environment, employing role-based access controls to ensure that employees only view the data for which they have authorization. This measured approach to data access is critical in maintaining confidentiality and compliance, especially within a global organization.
For its technological foundation, Tapestry leveraged Amazon Bedrock, a fully managed service from Amazon Web Services (AWS). Bedrock facilitates the building and scaling of generative AI applications, providing the robust infrastructure necessary to support Mira’s complex processing needs. This partnership with AWS highlights Tapestry’s strategy of combining in-house innovation with best-in-class cloud services.
Joanne Crevoiserat, President, CEO, and Director at Tapestry, articulated the company’s vision: "Mira is a powerful tool that puts business insights into the hands of decision makers across the company. We’re an 85-year-old fashion company harnessing cutting-edge innovation and technology." This statement encapsulates the essence of Tapestry’s approach – blending its rich heritage with forward-thinking technological adoption. Mira represents Tapestry’s first AI patent and its second overall technology patent, signaling a deepening commitment to embedding AI and machine learning across its value chain.
Mira’s Role in Tapestry’s Broader AI Strategy
Mira is a cornerstone of Tapestry’s comprehensive AI strategy, which aims to enhance various facets of its business. As outlined in the company’s 2025 annual report, Tapestry has been actively improving its capabilities in predictive AI, generative AI, and machine learning across several key areas. These include:
- Customer Segmentation and Personalization: Enhancing the ability to identify and segment customer groups with greater precision, enabling more tailored and effective engagement strategies. This allows for a more personalized customer journey, increasing loyalty and driving sales.
- Demand Forecasting and Inventory Management: Optimizing inventory levels by predicting product demand with higher accuracy. This reduces the risk of overstocking or stockouts, leading to improved profitability and customer satisfaction.
- Product Development and Merchandising: Informing product design and assortment planning based on real-time consumer trends and performance data. This ensures that the company is offering products that resonate with its target audience.
- Marketing and Promotional Effectiveness: Refining marketing campaigns and promotional offers to maximize impact and return on investment. AI can help identify the most effective channels and messaging for different customer segments.
- Operational Efficiency: Streamlining internal processes, from supply chain logistics to store operations, to reduce costs and improve overall productivity.
Crevoiserat further elaborated on the strategic importance of AI during Tapestry’s Q2 2026 earnings call, referring to the technology as "a competitive advantage." She stated, "We have a lot of data, and we’ve been working on harnessing that data and leveraging tools. So we’re already applying AI tools across the value chain from product development, as you know, to inventory management to pricing to marketing – AI tools are embedded." This indicates that AI is not confined to a single platform like Mira but is being integrated across the entire business.
Beyond its internal applications, Tapestry is also deploying AI in customer-facing initiatives. A prime example is the Kate Spade Gift Assistant, available on KateSpade.com’s mobile site. This tool utilizes conversational AI to guide shoppers in finding suitable gifts, demonstrating how AI can enhance the customer experience by addressing specific needs. Luzzi highlighted the origin of such initiatives: "We build because there is a real problem worth solving," stemming from direct feedback and observations of consumer behavior. This user-centric approach ensures that AI development is aligned with tangible business and customer requirements.
Driving Growth Through Digital and DTC Channels
The development and implementation of AI platforms like Mira are intrinsically linked to Tapestry’s broader strategic focus on digital and direct-to-consumer (DTC) channels, which are identified as key growth drivers for the company. Tapestry has been actively investing in its digital technology platforms to enhance its e-commerce capabilities and strengthen its DTC operations.
This strategic emphasis has yielded significant results. In its fiscal third quarter ended March 28, 2026, Tapestry reported robust revenue growth, with total revenue reaching $1.92 billion, marking a substantial 21% increase year over year. The company’s DTC revenue experienced a remarkable surge of 23% on a pro forma constant-currency basis during the same period. This growth was propelled by a combination of digital sales, which climbed approximately 25%, and global in-store sales, which saw more than a 20% increase. Notably, profitability improved across all channels, underscoring the effectiveness of Tapestry’s integrated strategy.
Crevoiserat attributed this success to the DTC-led business model: "Our DTC-led business model creates a direct connection with our customers, enabling more relevant brand building and deeper insights, which together drive consistent execution and sustainable growth." This direct engagement allows Tapestry to gather invaluable customer data, which in turn fuels its AI initiatives and marketing strategies.
Geographically, Tapestry’s performance reflects a strong global presence. North American sales rose by 20%, while European revenue saw a 21% increase, both driven by the strength of its direct business and successful new customer acquisition, particularly among Gen Z shoppers. Scott Roe, Tapestry’s Chief Financial Officer and Chief Operating Officer, noted that Greater China experienced an exceptional revenue surge of 55%, largely due to significant digital growth and broad-based customer acquisition across various channels.
In light of its strong performance and strategic advancements, Tapestry has also raised its fiscal 2026 revenue outlook. The company now anticipates total revenue to reach approximately $7.95 billion, surpassing its previous guidance of more than $7.75 billion. This upward revision signals confidence in Tapestry’s continued growth trajectory, underpinned by its investments in technology, digital transformation, and a customer-centric approach. The patenting of Mira is not just a recognition of past innovation but a forward-looking investment that promises to further sharpen Tapestry’s competitive edge in the evolving global retail market.
