Digital
Fynd stitches AI smarts into Being Human Clothing’s digital runway
Partnership brings one AI-powered backbone to fashion commerce and operations.
MUMBAI: What happens when fashion meets algorithms? You get fewer frayed edges and a lot more flow. AI-native retail technology firm Fynd, backed by Reliance Retail Ventures Limited, has teamed up with Being Human Clothing to power the brand’s end-to-end digital commerce and operations.
Under the partnership, Fynd is becoming the single operating layer behind Being Human Clothing’s online business, bringing together order management, customer experience and catalogue operations on one AI-driven platform. The aim is simple: reduce complexity behind the scenes while making the shopping experience smoother for customers.
At the front end, Being Human Clothing is using Kaily, Fynd’s AI-powered customer communication system, to handle e-commerce support across Whatsapp, email and chatbots. The setup allows the brand to respond consistently and automatically, even when demand spikes during sales and festive periods.
Behind the scenes, Fynd’s commerce operating layer is streamlining both front-end and back-end workflows. A centralised Order Management System now manages the entire order lifecycle across the brand’s direct-to-consumer website and multiple marketplaces, covering fulfilment, cancellations and returns at scale.
The partnership has also given Being Human Clothing a boost on the catalogue side. By adopting Fynd’s AI-led catalogue stack, the brand is using AI Snap to create and optimise product images and videos through AI-powered photoshoots tailored for websites and marketplaces. Alongside this, AI-driven Product Information Management is speeding up catalogue enrichment and standardising product data, cutting down manual effort while improving accuracy.
According to Fynd, the integrated platform has already been stress-tested during peak seasonal sales, where it handled a six times surge in orders without operational disruption. Order processing, fulfilment coordination and customer communication continued without interruption, underlining the system’s ability to scale reliably when volumes rise.
For Being Human Clothing, the collaboration is about future-proofing its digital commerce ambitions. As the brand expands its online footprint, the focus is shifting from juggling multiple tools to running a unified, intelligent backbone that can grow with demand.
For Fynd, the tie-up reinforces its pitch as more than just a technology vendor. By acting as a single technology and operations partner, the company is positioning itself as the quiet engine behind faster go-to-market, sharper efficiency and a consistent brand experience across every digital touchpoint.
In an industry where fashion trends change overnight, this partnership is less about chasing the next look and more about building a system that keeps pace, season after season.
Digital
OpenAI’s Stargate lead Peter Hoeschele exits with two senior leaders
Trio behind compute push set to join new startup amid leadership reshuffle
SAN FRANCISCO: Peter Hoeschele, a key figure behind OpenAI’s early Stargate data centre initiative, has exited the company, according to a report by The Information.
The departure is part of a broader leadership shift, with two other senior executives, Shamez Hemani and Anuj Saharan, also set to leave in the coming days. All three are expected to join the same new startup, although details about the venture remain under wraps.
The trio played a central role in OpenAI’s Stargate effort, an initiative aimed at building large-scale data centre capacity in-house to reduce reliance on external infrastructure providers. Their exits mark a notable moment for the company’s compute strategy as it continues to scale rapidly.
OpenAI spokesperson said in a statement to The Information, “We’re grateful for the contributions Peter, Shamez, and Anuj have made to OpenAI and wish them the very best in what comes next.” The company also pointed to the recent appointment of Sachin Katti to lead its industrial compute organisation, signalling continuity in its infrastructure roadmap.
OpenAI has indicated that it does not plan to directly replace Hoeschele’s role, suggesting a possible restructuring of responsibilities within the team.
As competition intensifies in the race to build next-generation AI systems, leadership changes in core infrastructure teams are likely to draw close attention. For now, the spotlight shifts to what this departing trio builds next, and how OpenAI adapts as it scales its ambitions.
