Indian AI-based brand platform GobbleCube bags $3.5m pre-series A

Indian AI-based brand platform GobbleCube bags $3.5m pre-series A

Tech in Asia·2025-07-03 17:00

GobbleCube, an AI-powered growth platform for consumer brands, has raised US$3.5 million in a pre-series A funding round.

The investment was led by InfoEdge Ventures, with participation from Kae Capital.

The company plans to use the funding to enhance its AI capabilities, broaden platform coverage, and expedite global expansion.

This funding round represents a major milestone for GobbleCube as it seeks to strengthen its position in the competitive AI-driven commerce sector.

Founded by Manas Gupta, Srikumar Nair, and Nitesh Jindal, GobbleCube reported US$2 million in annual recurring revenue (ARR) within nine months of exiting its Private Beta phase.

The platform is currently used by over 200 brands, including Reckitt, Tata Consumer, Nivea, and Johnson & Johnson.

GobbleCube has started collaborating with brands in regions such as the Middle East and North Africa (MENA) and Latin America (LATAM).

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🔗 Source: GobbleCube

🧠 Food for thought

1️⃣ AI-driven commerce tools are demonstrating clear ROI metrics beyond the hype

GobbleCube’s rapid growth to US$2M ARR in just nine months aligns with broader industry data showing the measurable impact of AI in e-commerce.

Research indicates companies adopting AI-driven strategies report average revenue increases of 10-12%, validating GobbleCube’s claim of delivering 2-3x growth for their clients 1.

This performance data is particularly significant considering that AI-assisted shopping experiences lead to 47% faster purchase completion rates and 4X higher conversion rates compared to traditional approaches 2.

The global AI-enabled e-commerce market is projected to reach US$8.65 billion in 2025, showing that solutions like GobbleCube are riding a substantial growth wave with a projected CAGR of 24.34% through 2032 2.

With 89% of companies now using or testing AI for customer engagement, marketing automation, and predictive analytics, GobbleCube’s focus on these capabilities positions them in a rapidly mainstreaming market rather than an experimental niche 2.

2️⃣ Hyperlocal commerce represents the next competitive frontier for consumer brands

GobbleCube’s focus on hyperlocal commerce intelligence aligns with significant market shifts in how consumer brands must compete in the quick commerce era.

The India hyperlocal delivery market is experiencing rapid expansion driven by increased digital adoption and changing consumer behavior, particularly in the post-COVID landscape 3.

Major platforms like Swiggy Instamart, Zomato, Zepto, and Flipkart Quick have created a new distribution landscape where brands must optimize their presence at a granular, locality-specific level to remain competitive 3.

The founders’ background from Blinkit (a leading quick-commerce platform) gives them firsthand experience with the data challenges brands face when selling through these hyperlocal channels.

By processing billions of locality-level data points, GobbleCube is addressing a specific technical challenge that has emerged as commerce becomes increasingly fragmented across multiple hyperlocal platforms, each with their own dynamics.

3️⃣ Data-driven personalization is transforming from competitive advantage to business necessity

GobbleCube’s platform represents part of a broader shift where AI-powered personalization is becoming essential rather than optional for consumer brands.

Despite personalization’s proven ability to increase retention and revenue by 10-15%, only 15% of retailers have fully implemented personalization across channels, indicating significant growth potential for solutions that address this gap 4.

Companies like Amazon demonstrate the power of this approach, with AI-driven recommendation engines accounting for 35% of their total sales, showcasing the revenue impact of getting personalization right 5.

As AI capabilities mature, the competitive differentiation is shifting from simply having data to effectively operationalizing it for decision-making, with nearly 90% of business leaders now considering AI fundamental to their strategy 6.

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