Tag: InMobi

  • L Catterton Invests in InMobi Subsidiary Glance

    L Catterton Invests in InMobi Subsidiary Glance

    Consumer-focused private equity firm L Catterton has made a strategic investment in Glance, an artificial intelligence shopping agent run out of a subsidiary owned by tech company InMobi. Glance is currently accessible on more than 60 million devices in the U.S. Through an app and hardware partnerships with Samsung, Android TV and DirecTV.

    Scott Dahnke, global chief executive officer of L Catterton, noted that the private equity firm has backed shifts in consumer behavior for nearly four decades. “Agentic commerce is fundamentally changing how consumers discover and shop for products, creating significant opportunities for brands that can make the journey more personal, intuitive and engaging,” Dahnke said. “Glance is uniquely positioned to capitalize on this evolution, combining a differentiated consumer proposition with broad distribution across the screens where people spend their time.”

    Operating like a personal shopper, Glance remembers user preferences, scours the web for deals, offers virtual try-ons, and secures approval before completing purchases. “We have 10 million monthly active users in the U.S.,” said Naveen Tewari, founder and CEO of Glance and InMobi, noting that users average 120 shopping prompts a month and nearly 15 percent make a monthly purchase.

    Screen distribution and checkout mechanics

    Users on the service enter roughly 120 shopping prompts every month, with approximately 15 per cent completing a transaction within thirty days. Glance collects an affiliate cut from final sale totals. For an added fee, the company trains its underlying algorithms on individual brands to make sure those labels surface accurately during consumer queries.

    Naveen Tewari, founder and chief executive of Glance and InMobi, said: “The model does not have a limitation like you and I to remember only a hundred brands. The model can actually remember a million brands. As different brands start to get trained on Glance, they get discovered for the right user at the right time. And especially brands that are smaller, that do really authentic work, but not at scale.”

    Hardware integrations give the system immediate visibility into living rooms and mobile screens. Shoppers watching connected television displays can use prompts to identify clothing worn by characters on screen, search for retail stock, and complete purchases on linked devices.

    The private equity wager on agentic retail

    L Catterton, which manages global consumer investments, is banking on algorithmic agents handling discovery rather than traditional online search boxes. Glance intends to allocate the new capital to accelerate model training runs and expand its distribution network beyond its initial television deployments.

    By backing an InMobi venture, L Catterton wagers that consumer software can control retail discovery funnels in Western markets. Ad-tech operators spent a decade selling display space. Now they want direct conversion cuts from retailer inventories.

    The structural risk for brand owners sits in recommendation control. When an algorithm decides which dress or shoe matches a television prompt, unpartnered labels risk exclusion unless they pay the platform to train its model on their catalog.

    From lock-screens to commerce agents

    Glance built its initial scale by delivering news, media and casual games to Android mobile lock-screens. Its parent InMobi used that installed base to expand abroad.

    The commercial test will be whether Glance can replicate its US hardware conversion rates across its core device base, where average basket values run lower and marketplace apps dominate customer search habits.

  • Glance Adds True Fit Sizing Data to AI Shopping Platform Ahead of 2026 Holidays

    Glance Adds True Fit Sizing Data to AI Shopping Platform Ahead of 2026 Holidays

    Glance has partnered with sizing technology provider True Fit. The deal embeds fit intelligence into Glance’s AI shopping interface across 60 million connected screens ahead of the 2026 holiday shopping season.

    The system links Glance’s generative virtual try-on tools with True Fit’s transaction records. That database covers 91,000 apparel and footwear brands and more than $500 billion in purchase history. By combining visual simulations with verified purchase data, both firms aim to reduce return rates on agentic e-commerce platforms.

    Integrating Fit Models Into Lockscreen Discovery

    Online fashion retailers lose billions each year to sizing-related returns. According to True Fit customer data, more than 70 per cent of shoppers interacting with AI retail agents ask specifically about fit before buying.

    Glance pushes shopping recommendations across mobile lockscreens, connected televisions and desktop computers. Integrating True Fit sizing predictions allows the interface to suggest specific garment sizes alongside on-screen try-on previews. Shoppers no longer have to guess.

    “AI is moving more of the shopping decision into the conversation, so the agent has to resolve the questions that determine whether someone buys,” said Mansi Jain, chief operating officer at Glance. “In fashion, fit is one of those questions.”

    How the Dataset Operates

    True Fit builds its recommendation layer on two decades of transactional data. The archive spans 60 million individual products. It also tracks post-purchase behavior, including returns and repeat orders across hundreds of partner retailers.

    Computer vision models then pair that database with user photos to render garments on screen. The software cross-references user measurements against actual return histories for each garment cut. It narrows size options before routing the buyer to checkout.

    Agentic Commerce and Brand Adoption

    For fashion brands across Asia and Western markets, agentic systems replace traditional search-and-browse websites. Sizing errors create major friction when an AI interface autonomously assembles complete outfits for shoppers.

    Autonomous shopping software must convert browsing intent into keepable orders. Putting verified returns data directly into the discovery layer lifts conversion confidence for apparel labels. It also reduces fulfillment overhead from bracket purchasing, where shoppers buy multiple sizes intending to return the extras.

    Expansion Plans for 2027

    Operating as a core unit of India-based InMobi Group, Glance runs on more than 400 million devices globally. In September 2026, the platform expanded its agentic commerce footprint by linking with Mastercard Agent Connect to process direct payments.

    Following the holiday launch on Glance screens, True Fit will roll out the joint try-on software to its wider merchant network in 2027. Both companies will present the technical architecture at the RetailClub AI Festival in California on September 22.

  • InMobi sees gold in Indonesian ad market

    InMobi sees gold in Indonesian ad market

    InMobi, an India-based mobile advertising platform provider, will invest up to US$50 million within the next five years to expand its business in Indonesia.

    InMobi founder and chief executive officer Naveen Tewari said in Jakarta on Monday that the company would focus its investment on developing a mobile video advertisement and customer-relationship management platforms.

    “We are going to expand our business, also use the money for team resources, product customization, and partnerships,” Naveen told a media briefing.  “We are also going to bring our team from India, as well as hire local [human] resources in Indonesia,” he added.

    The mobile advertisement market in Indonesia is quite promising because of the shift in advertisement placement from conventional media such as television to mobile devices and the increasing number of smartphone users, according to InMobi.

    The company’s survey showed that in 2016, video-based advertisement on mobile devices in Indonesia rose by 380 percent.  InMobi is a mobile advertising platform, which was established in Indonesia in 2008, marking its first office outside India.

    “By 2016, our platform has reached 90 percent of smartphone users, or approximately 69 million users in Indonesia. We offer an ads platform that can reach a larger scale than television advertising,” Naveen added.