New Delhi, April 23 -- AI-native retail tech firm Fynd has partnered with men's grooming brand Wild Stone to boost its offline expansion and scale its offline experience centres. The integrated commerce platform will streamline store operations, analytics, and inventory management as the brand rapidly expands its physical footprint.

Under the Wild Stone partnership, Fynd is deploying its unified commerce stack-spanning point-of-sale (POS), analytics, inventory management, and clienteling-to streamline operations across experience centres. The brand has scaled from an initial pilot in West Bengal to over 20 centres in a few months, with Fynd claiming the rollout has helped drive a 150% increase in orders.

The platform enables real-time visibility into store performance, including sales, average transaction values, SKU-level insights, and stock alerts, while simplifying inventory workflows through an in-built warehouse management system. The aim, executives said, is to help brands expand offline without adding operational complexity.

"Offline retail growth requires technology that is intuitive, reliable in high-traffic environments, and scalable as operations expand," said Ragini Varma, chief business officer (India) at Fynd. She added that the company is focusing on building a "unified operational backbone" for experience-led retail, integrating billing, inventory, and omnichannel readiness.

For Wild Stone, which operates under McNROE Consumer Products, the partnership comes as it looks to build a structured offline retail model alongside its existing distribution network. "Fynd's platform has helped us simplify operations and gain real-time visibility into sales and inventory, giving us the agility to scale," said Mohit Kiradoo, senior manager, strategic projects at the company.

The offline retail push comes alongside Fynd's broader bet on AI-driven commerce, anchored by its collaboration with OpenAI. The company said it has processed over 4.3 million customer interactions using OpenAI's large language models, including GPT-5.4 and GPT-5.4 Mini, through its conversational commerce agent.

Integrated into its commerce stack, the AI agent enables real-time, intent-led interactions across the customer journey-from discovery to post-purchase support-across web, mobile apps, and messaging platforms such as WhatsApp. The system currently handles more than 750,000 interactions per month and has served over 1.1 million users.

Fynd said the technology is already being deployed across sectors, including fashion, beauty, healthcare, and e-commerce. For instance, fashion platform AJIO uses the conversational interface for product discovery, while Netmeds has handled over 850,000 customer queries through similar AI-led interactions. During peak sales periods, brands such as Being Human Clothing have used the system to manage traffic surges without downtime.

Published by HT Digital Content Services with permission from TechCircle.