Bestseller India, home to leading fashion brands such as Vero Moda, Only, Jack & Jones, and Selected, has successfully revolutionized its employee and customer experience with Nikki by Umwelt.Ai, an AI-driven sentiment analysis platform.

Nikki by Umwelt.AI has made a significant impact at Bestseller India by reducing early attrition through the timely identification of at-risk employees and strategic interventions. The platform provides unfiltered, real-time feedback, enabling smarter decision-making and enhancing employee retention and productivity. Additionally, it has contributed to improved store efficiency and higher customer NPS scores. With precise, data-driven insights, HR interventions have become more effective, fostering a more engaged and high-performing workforce.

In a conversation with Vineet Gautam, CEO of Bestseller India, he shared how the company overcame high first-90-day attrition and filtered feedback challenges across its 120+ city operations by leveraging Nikki’s real-time insights.

"Reaching out to every employee and understanding their sentiment was a challenge. Feedback came filtered through layers, making it difficult to act on real concerns. Our first 90-day attrition was significantly high, and that’s a crucial period for any retail business," said Vineet.

"Life without Nikki was filled with shades of gray. Now, it’s black and white!" Vineet remarked, emphasizing how Nikki helped bring clarity, actionability, and impact to Bestseller’s employee experience strategy.

Vishal Chopra, Founder and CEO of Umwelt.AI, highlighted the significance of this collaboration:"At Umwelt.AI, our mission is to empower organizations with real-time insights that drive meaningful change. Bestseller India's success with Nikki underscores how AI-driven sentiment analysis can transform workforce engagement, reduce attrition, and ultimately elevate the customer experience."

With AI-powered sentiment analysis, Bestseller India no longer relies on guesswork—it takes data-backed decisions that drive employee engagement and customer satisfaction.