Mystore's seller dashboard is powered by Google AI this deep integration, automating tasks that are often challenging for its users. This is especially impactful for India's underserved micro-level sellers who may lack the technical expertise for professional photography or creating detailed product descriptions. By automating pain points like cataloging and product approvals, Mystore not only makes digital commerce accessible but also keeps its own operating costs low.

According to Kumar, "With Gemini, we can deploy AI features 50% faster. We can quickly refine and integrate new functionalities into our system. For instance, it only took one day to integrate Gemini 2.5 Flash Image with our Image Editor tool."

To manage its vast inventory of over 20 million products, Mystore relies on a Multilingual Semantic Search. Powering this search with Vertex AI, buyers can search in regional Indian languages, and Mystore connects their queries to relevant products, even with misspellings or language mismatches. For instance, the AI can correctly match a query for "red saree" to a product with a photo of a red saree, even if the seller mistakenly categorized a red saree as a white saree.

“With Google AI, the product approval process, which once took 1-2 days, now takes under an hour,” says Kumar. “This has boosted operational efficiency by 60-70%, as the AI automatically checks for quality and compliance with ONDC standards.”

Mystore has built “Mystore Genie”, an AI-powered conversational shopping assistant that makes product discovery on the ONDC-connected Mystore platform more natural and intuitive. It understands voice and text queries, matching buyer intent to relevant items in real time, simplifying search and ordering, and helping both shoppers find what they want and enabling sellers to increase conversions.

For customer support, it has introduced "Mystore Mitra", an AI-powered assistant that instantly resolves buyer queries from their dashboard, ensuring quick help and smoother daily operations.

Mystore's parent platform, StoreHippo, also offers these AI features as white-label solutions, allowing other businesses to create their own branded ecommerce stores.

Mystore's migration to Google Cloud has enabled the company to scale its operations to meet ecommerce growth with minimal impact on its operating expenses.

The company saw a 20% improvement in response times for its MongoDB database and applications without any additional costs. This gain is attributed to Google Cloud's low-latency network and optimized infrastructure.

A major part of success is leveraging Google Kubernetes Engine (GKE) to manage AI workloads. By hosting its AI models on this infrastructure, Mystore can process huge volumes of images and product data far more efficiently, improving the experience for both sellers and buyers.

Mystore's platform experiences significant traffic fluctuations, especially during online shopping events. Its previous provider struggled with these surges, leading to service issues. With GKE, Mystore can handle sudden traffic spikes effortlessly, maintaining high performance and availability without manual intervention.

Additionally, by hosting its analytics on Google Cloud, Mystore provides unified data visibility to both its internal teams, such as logistics, and its sellers, empowering them to make more data-driven operations and business decisions.

"Our goal is to help every seller in India get online," says Aggarwal. "Thanks to Google Cloud, we're providing them with all the tools they need to digitize their businesses, creating a win-win for everyone involved. We see a future where India is a completely digitized nation."