Automation and AI in Retail: Insights from Tapestry's Karthik Ramakrishnan

Tapestry's Automation Journey

• 🚀 Tapestry began its business process automation journey in 2019, coinciding with their implementation of SAPS4 HANA.
• 💡 The goal was to avoid customizations in package software and SAS applications, leading to a pivot towards automation tools like UiPath to handle manual processes.
• ✅ This approach has helped reduce customization maintenance costs and increase agility for system upgrades, while freeing up resources for innovation.

Driving Data-Driven Strategies with RPA and AI

• 📊 Automation has transformed data validations, reconciliations, and purchase order creation, moving from hours/days to near real-time.
• 💬 AI-powered agents provide real-time insights into sales, inventory, customer feedback, and more, enabling users to ask questions in natural language.
• 📈 The era of static reports is ending, with a move towards automated, prompt-driven reports.

Selecting the Right Platforms and Partners

• 🛠️ Tapestry chose UiPath for its automation platform due to its robustness, seamless integration with various application types, and zero support cases in five years.
• 🎯 Tool selection follows a scientific process, using a well-defined evaluation matrix that assesses scalability, flexibility, adaptability, security, and ease of maintenance.
• 🤝 Strong leadership support is crucial in choosing the right tools for successful automation initiatives.

Enhancing Customer Experience through Automation

• ⚡ Automation has improved response times and reduced friction in customer interactions, with self-service options for common queries like order status and cancellations.
• 📱 These self-service automations cater to digital-native consumers, particularly Gen Z, and are being expanded across multiple contact channels.
• ✨ While AI is a powerful tool, simple, powerful use cases can also solve many problems effectively.

Future Trends and Staying Agile

• 🔮 Emerging trends include computer vision, self-healing automations, LLMs outperforming traditional forecasting, AI engineering, and AI-based app development.
• 💡 The future may see users building applications through simple commands, virtual tailors, and AI-powered physical store assistants.
• 🌱 Staying agile involves passion for what you do, unlearning or delegating established responsibilities, and ensuring alignment with leadership.