
the right eCommerce development company in India depends on your commerce model, not on a ranking. Akoode Technologies (Gurugram) suits custom web, app, B2B and AI-led builds. Infosys, Nagarro and LTM suit enterprise programmes on composable or Adobe, SAP and Salesforce stacks. Codilar, Webkul, DIT Interactive, Appinventiv, RBM Software and Vserve each fit a narrower brief, from headless Adobe Commerce to open-source marketplaces to catalogue-heavy B2B. This guide maps them by city and by commerce model, then covers the two capabilities buyers are now asking about: agentic commerce and AI virtual try-on.
Most lists of eCommerce developers read like phone directories. Same adjectives, same stock claims, and no way to tell whether a firm that is brilliant at Shopify theme work can also build a multi-vendor marketplace that survives its first festive sale.
This one is organised differently. Companies are grouped by the cities where India's commerce engineering actually clusters, then matched to the kind of store you are trying to build: a direct-to-consumer brand, a B2B dealer portal, a marketplace, a mobile-first shop, or an enterprise programme. And because 2026 has changed what "a store" has to do, there are dedicated sections on shopping agents that buy on a customer's behalf, and on computer-vision try-on that lets a shopper see a product on themselves before paying.
One disclosure up front. Akoode publishes this guide, and it is listed first because that is where its own work sits, not because it has been independently ranked above anyone else. Every other firm is described from its own published material and independent sources, and anything a company reports about itself is labelled that way. Official websites are linked for the multinational groups. For the smaller firms, check the name against Clutch, GoodFirms and the firm's own site before you shortlist.
Bain and Flipkart's "How India Shops Online 2025" report put India at roughly 270 million online shoppers in 2024, the second-largest shopper base in the world, with e-retail value expected to climb from about 60 billion dollars toward a range of 170 to 190 billion dollars by 2030. That growth is not slowing the engineering work down. It is making it harder, because three things have changed at once.
Payments now include software agents. NPCI, OpenAI and Razorpay piloted shopping and payment inside ChatGPT on UPI in late 2025, using UPI Reserve Pay and UPI Circle so the assistant never holds payment credentials. By February 2026, Razorpay, Cashfree and PayU were reported to be shipping LLM-ready UPI payment flows, and in June 2026 Pine Labs launched a UPI-based agent payment protocol in production.
Discovery is moving into AI assistants. Reports from the trade press describe Indian retailers building storefronts for ChatGPT, Perplexity and Gemini, and Razorpay says around fifty brands are experimenting with its AI-commerce stack.
Fit risk is now a software problem. The US National Retail Federation estimated that about 15.8% of retail sales were returned in 2025. Generative AI try-on has moved from novelty to a feature that Google, Amazon, Adobe and Shopify partners are all building into the shopping journey.
A development partner who can only install a theme and connect a gateway is no longer enough for a growing store. The questions below are about engineering depth, and the company profiles are written with that in mind.
We looked for firms that an Indian or overseas buyer could realistically engage for eCommerce work, with a verifiable website, a findable operating history, and independent review or press coverage. Headquarters, founding year and service lines were cross-checked across the company's own pages, review platforms such as Clutch, GoodFirms and DesignRush, and press releases. Where sources disagree, the profile says so.
The firms are grouped by city, because location shapes delivery. Time zone, talent pool, and whether a firm runs a local pod or reports into a foreign head office all affect how a project feels week to week. There is no ordinal ranking below the lead entry. A multinational building composable platforms and a specialist building open-source marketplaces are not competing for the same brief, and ranking them against each other would help nobody.
We do not publish pricing here. Quotes depend on scope, integrations and platform choice, and any figure printed in a listicle is out of date by the time you read it. For budgeting guidance, see eCommerce development cost in India.
City | Typical strength in this list | Firms profiled |
|---|---|---|
Gurugram | AI-led custom builds and enterprise digital engineering | Akoode Technologies, Nagarro |
Bengaluru | Productised enterprise commerce and Adobe Commerce specialists | Infosys, Codilar |
Noida | Open-source marketplaces and mobile-first commerce apps | Webkul, Appinventiv |
Pune | Engineering pods for overseas retail and brand teams | RBM Software |
Hyderabad | Catalogue, product data and supply-chain-heavy commerce | Vserve Ebusiness Solutions |
Ahmedabad | Dense Shopify and BigCommerce delivery talent | DIT Interactive |
Mumbai | Enterprise systems integration on Adobe, SAP and Salesforce commerce | LTM (formerly LTIMindtree) |
Ahmedabad deserves a note of its own. GoodFirms' directory lists more eCommerce companies there than in Bengaluru, Noida, Mumbai or Hyderabad, which means more choice and more noise. Verification matters most in the city where the pool is deepest.
Headquarters: Spaze iTech Park, Sector 49, Gurugram, with a US office in Jenks, Oklahoma
Founded: 2023
Specialises in: Custom storefronts, B2B portals, multi-vendor marketplaces, headless commerce, mobile commerce apps, integrations and replatforming
Platforms: Next.js and Node custom builds, plus Shopify, WooCommerce, Magento and OpenCart
Best fit: Growing brands and wholesalers whose hosted platform has become the constraint, and teams that want AI built into the commerce layer
Less suited to: A standard catalogue with simple pricing that a well-configured Shopify store already serves
Website - www.akoode.com
Akoode describes itself plainly as not a theme shop. Its custom eCommerce development services concentrate on the layer underneath the storefront: catalogue structure, pricing and promotion engines, checkout logic, and integrations with ERP, CRM, logistics and payment systems, with retries, alerts and reconciliation rather than silent failures. Its own guidance on Shopify is candid: stay on it if your catalogue and pricing are simple, and move when platform fees scale with revenue or checkout needs workarounds.
The commerce work sits on a wider engineering base. Web storefronts come from its web development team and the wider custom software development practice, and mobile shops are built in React Native and Flutter on the same backend through its mobile app development practice. Search and merchandising run on Elasticsearch or Typesense, and recommendation and personalisation models are trained on the client's own order data under its AI development team. Platform-specific work is covered on dedicated pages for Shopify, Magento, WooCommerce and OpenCart, and the company reports a 4.9 rating from 126 Google reviews, a 5.0 rating on GoodFirms, 180+ delivered projects across more than 15 industries and a 97% client retention rate.
Published builds include a multi-brand beauty storefront with a deep category structure for Stunner Selfcare (case study), the QR-linked apparel platform built for Bacstory, which ties a purchased garment to a verified digital identity, and a precious metals store built on OpenCart that connects product discovery, cart, checkout, payment and orders.
Two things Akoode is building now matter for this guide. The first is an agentic commerce layer: machine-readable catalogues, checkout and order interfaces that shopping agents can call, and the data hygiene that lets an AI assistant trust a store's price and stock. The second is a virtual try-on feature that uses computer vision and generative AI, so a shopper can see a product on themselves before buying. Both are in active development, so treat them as a direction of work rather than a finished product, and ask to see a working demo before you plan around them. The agent-ready and try-on sections below explain what to look for from any vendor, Akoode included.
Headquarters: Munich, Germany, with major delivery operations in Gurugram and across India
Founded: 1996, in New Delhi
Specialises in: Digital product engineering, with a digital commerce engineering unit covering omnichannel commerce, personalisation and in-store experience
Best fit: Large retail, fashion, travel and manufacturing brands that want commerce delivered alongside ERP and customer experience work
Official website: nagarro.com
Nagarro began in India and is now a Frankfurt-listed group with most of its people in India. It is also in the middle of a change of ownership. Persistent Systems, headquartered in Pune, announced a voluntary takeover offer for all Nagarro shares on 27 June 2026, with completion reported as expected by early 2027 subject to approvals. If you are signing a multi-year commerce programme, ask how the integration is expected to affect your delivery team and account leadership.
Headquarters: Bengaluru
Specialises in: Infosys Equinox, a headless, composable commerce and marketing platform built on a microservices, API-first, cloud-native architecture that evolved from the Skava commerce platform
Best fit: Large enterprises that want a productised commerce stack for B2C, B2B and direct-to-consumer from one platform
Official website: infosys.com
Infosys is unusual among Indian IT majors in owning a commerce platform rather than only implementing other vendors' products. Equinox can run as a full platform or as a set of microservices layered onto an existing commerce system, which suits retailers that want to modernise gradually. The trade-off is scale and process: it is built for enterprise budgets and procurement, and a growing brand will rarely be its centre of attention.
Headquarters: Bengaluru
Specialises in: Adobe Commerce (Magento), Shopify Plus, headless and PWA storefronts, B2B commerce, marketplaces and omnichannel
Best fit: Mid-market and enterprise brands running or moving to Adobe Commerce, especially with headless front ends
Codilar is an eCommerce specialist rather than a general IT firm. In its own words it was the first Indian company to partner with Vue Storefront and ScandiPWA, is an Adobe Commerce solution partner, and won headless, B2B and migration awards at Meet Magento India events in 2024 and 2025. Those are self-reported recognitions, but they point to real depth in one ecosystem. If your roadmap is Adobe Commerce with a decoupled front end, it deserves a place on your list.
Headquarters: Sector 63, Noida
Founded: 2010
Specialises in: Multi-vendor marketplace software, extensions for Magento, Shopify, WooCommerce, OpenCart and PrestaShop, Odoo connectors, and its own open-source products
Best fit: Marketplace and multi-vendor builds, and teams that want an open-source commerce base they fully control
Webkul is a product company as much as a service firm. It created Bagisto, an open-source eCommerce framework built on Laravel, along with UnoPim for product information management, Krayin for CRM, QloApps for hotel booking and UVdesk for helpdesk. Public company profiles put the team at a little over five hundred people. That product heritage is the reason to pick it: you inherit tested marketplace logic instead of commissioning it from scratch.
Headquarters: Noida
Founded: 2014 (some directories list 2015)
Specialises in: Mobile-first product development with AI features, across iOS, Android, React Native and Flutter
Best fit: Retail and on-demand businesses where the app, not the website, is the main storefront
Appinventiv built its name on mobile applications and later added AI and blockchain-adjacent work. For commerce, that makes it a natural candidate when the brief is an app-led shop with push re-engagement, saved payments and fast repeat checkout. Check how its web storefront and back-office tooling are handled, since app-first firms sometimes treat those as secondary.
Delivery centre: Pune, with leadership in the United States and a presence in Dubai
Founded: 2015
Specialises in: eCommerce and retail product engineering, headless commerce, omnichannel platforms, and data and AI work
Best fit: Overseas retailers and brands that want a dedicated engineering pod in Pune
RBM Software describes itself as a digital transformation and product engineering company focused on eCommerce and retail, and DesignRush lists a mid-sized team and a California business address alongside its Pune delivery base. That structure suits foreign buyers who want a US point of contact with Indian engineering depth. Indian brands should confirm how much of a project is handled locally.
Delivery base: Hyderabad; some directories list a New York headquarters
Founded: 2004
Specialises in: eCommerce development with product catalogue management and supply-chain systems, across Magento, Shopify, WooCommerce, BigCommerce and WordPress
Best fit: Catalogue-heavy and operations-heavy sellers, particularly B2B, where product data and fulfilment matter as much as the storefront
GoodFirms listed Vserve as the top-ranked eCommerce development firm in Telangana in September 2026, with a perfect rating from verified reviewers. Its angle is operational: product information management, marketplace integration and supply-chain tooling alongside storefront work. If your biggest problem is messy product data rather than design, that is the right place to look.
Headquarters: Ahmedabad, with offices in the United States and Canada
Founded: 1999
Specialises in: Shopify and BigCommerce development, B2B eCommerce, headless builds with React, Vue or Next.js, migrations and white-label work for agencies
Best fit: Direct-to-consumer brands on Shopify or BigCommerce, and agencies that need a reliable white-label build partner
DIT Interactive is among the longer-running eCommerce firms in this guide, having started during the dot-com period. It is a certified Shopify and BigCommerce partner and positions itself on platform fluency, migrations and agency partnerships. For a brand that has decided on a hosted platform and wants experienced hands, that is a sensible and lower-risk choice.
Headquarters: Mumbai
Specialises in: Enterprise commerce on Adobe Commerce, Shopify, Salesforce Commerce and SAP Commerce, with a Shopify centre of excellence and a proprietary accelerator called ShopFlex
Best fit: Enterprises standardised on Salesforce, SAP or Adobe that need commerce integrated with the rest of their systems
Official website: ltm.com
LTIMindtree, a Larsen and Toubro group company, has rebranded as LTM, so you will see both names in the market. It describes more than two decades of eCommerce delivery and has launched a composable storefront quick-launch solution on Salesforce Commerce Cloud. Like the other multinationals here, it is best matched to enterprise programmes with dedicated internal owners.
If you are building | Look first at | Why |
|---|---|---|
A custom D2C or B2B platform with AI in the commerce layer | Akoode Technologies | Custom engineering plus in-house AI, with search, pricing and personalisation as core work |
A composable platform for a large enterprise | Infosys, Nagarro, LTM | Productised or integrated stacks with enterprise delivery scale |
Adobe Commerce with a headless front end | Codilar | Specialist depth in one ecosystem |
A multi-vendor marketplace on open source | Webkul | Marketplace products and the Bagisto framework |
An app-first shop | Appinventiv, Akoode Technologies | Mobile engineering as the primary strength |
Engineering pods for an overseas retail team | RBM Software | US-facing leadership with Pune delivery |
Product-data and supply-chain-heavy B2B | Vserve Ebusiness Solutions | Catalogue management and operations tooling |
A Shopify or BigCommerce brand, or agency white-label | DIT Interactive | Long platform experience and partner status |
Agentic commerce means an AI assistant finds, compares and buys products for a person, working through structured data and APIs instead of a rendered web page. It is no longer theoretical. OpenAI introduced Instant Checkout and the Agentic Commerce Protocol with Stripe in late 2025, Google released its Agent Payments Protocol, and in India the NPCI, OpenAI and Razorpay pilot showed UPI payments completed inside ChatGPT, with the assistant never seeing payment credentials and each transaction still authorised through UPI. Cashfree launched an agentic payments MCP, Mastercard demonstrated India's first authenticated agentic transaction in February 2026 with Axis Bank, RBL Bank, Swiggy and Zepto, and Reuters has reported that NPCI is preparing a unified agent protocol for UPI, though the regulator has not confirmed it.
For a store owner, the practical question is simple: when an agent searches for what you sell, can it trust your data enough to recommend you and complete the purchase? A development partner should be able to deliver the following.
Clean, structured product data. Complete schema markup for price, availability, variants, shipping and returns, kept in step with the live catalogue.
Truthful, real-time stock and price. An agent that sends a customer to an out-of-stock item loses trust, and then loses you.
Machine-callable endpoints. Catalogue search, cart and checkout interfaces, ideally exposed through a protocol such as MCP or a vendor's agent commerce specification.
Delegated, limited payment authority. Support for UPI Reserve Pay, UPI Circle or card-network agent tokens, with spend limits and clear consent records.
Idempotent orders and reliable webhooks. Agents retry. A duplicated order is a customer-service problem and a reconciliation problem.
Agent attribution and fraud controls. You need to know which agent sent an order and how to distinguish legitimate automation from abuse.
Machine-readable policies. Return windows, delivery promises and warranty terms an agent can state accurately.
Most of this is engineering hygiene that a template platform does not expose cleanly, which is why agentic readiness tends to favour custom and headless builds. For the protocol stack in detail, see our guide to agentic commerce architecture. For the concepts behind it, read what agentic AI is, and for the supporting architecture see enterprise AI agent architecture and Akoode's AI agent development work. A wider look at what is genuinely working in retail AI is in AI in eCommerce and AI for eCommerce: what actually works.
Older try-on tools overlaid a 3D model or a camera filter. The newer approach in 2026 uses computer vision and generative AI on ordinary photographs. A shopper uploads a picture or uses a live camera. The system detects the body, face or hand, separates the person from the background, maps the garment or accessory to that geometry, and generates a realistic image of the product on them. In eyewear, jewellery and cosmetics it tracks facial or hand landmarks in real time. In apparel it relies on pose estimation, segmentation and image generation that respects fabric drape.
The commercial case is returns. The NRF estimated that about 15.8% of US retail sales were returned in 2025, and fit and appearance are leading reasons in fashion. Warby Parker has publicly reported that try-on reduced eyewear returns by 27%. Vendor-published figures for conversion lift and return reduction vary widely and are often self-reported, so treat any headline number as a hypothesis to test on your own catalogue.
Category | Try-on suitability | What to watch |
|---|---|---|
Eyewear and sunglasses | Strong | Face landmark accuracy and frame scale |
Cosmetics and hair colour | Strong | Skin-tone fidelity and lighting |
Jewellery and watches | Good | Hand tracking and realistic scale |
Tops and dresses | Good, improving | Fabric drape and body-shape realism |
Footwear | Moderate | Foot tracking and sizing |
Furniture and decor | Different technique | Room placement uses AR rather than person-based try-on |
Three practical points decide whether a try-on project works. Catalogue preparation comes first: every product needs clean, consistent imagery, and large catalogues need a repeatable pipeline. Privacy comes second: a shopper's photo is personal data, so consent, short retention, deletion on request and clear processing terms matter, particularly as India's data protection rules phase in. Honest limits come third: try-on reduces uncertainty, it does not eliminate returns, and it will not rescue a poor product page. Akoode is building a computer-vision try-on feature as part of its commerce work, and its published computer vision material, including computer vision use cases and a guide to choosing a computer vision development company, explains the underlying technology for buyers evaluating any vendor.
Question | A strong answer sounds like |
|---|---|
Why this platform for my business model? | A reasoned trade-off, including when not to use it |
Can I see a live store you built with a similar catalogue or pricing logic? | A working link and a named contact, not a mock-up |
How do you protect SEO and order history in a migration? | URL mapping, redirects, parallel running and Search Console monitoring |
What happens when an integration fails at peak traffic? | Retries, alerts and reconciliation already designed in |
Can an AI shopping agent read and buy from the store you would build? | Structured data, callable endpoints and delegated payment support |
How would you add virtual try-on, and how do you handle photos? | A catalogue pipeline, consent flow and deletion policy |
Who owns the code, the data and any models trained on it? | You, in writing, from day one |
Who will I actually speak to during the build? | The engineers, not only an account manager |
For a fuller buyer framework, see how to choose an eCommerce development company in India, and for a wider checklist, how to choose a software development company in India, and for a general-purpose comparison beyond commerce, the list of top software development companies in India. If you are scoping a build from scratch, the eCommerce software development guide covers features, stack and sequencing.
Which is the best eCommerce development company in India?
There is no single best one, because the firms are built for different jobs. Enterprises on composable or Adobe, SAP and Salesforce stacks are served by Infosys, Nagarro and LTM, while custom, B2B and AI-led builds suit Akoode, and marketplaces on open source suit Webkul.
What is the difference between custom eCommerce development and Shopify?
Shopify is a hosted platform that is fast to launch and fine for standard catalogues and simple pricing. Custom eCommerce development builds the catalogue, checkout and integrations to your own logic, which makes sense when platform fees scale with revenue or plugins start conflicting.
What is agentic commerce?
Agentic commerce is when an AI assistant searches, compares and buys products for a person through structured data and APIs. In India, UPI-based pilots with OpenAI and Razorpay, and card-network demonstrations, have shown agents completing authorised payments.
How does virtual try-on work in eCommerce?
Virtual try-on uses computer vision to detect a person's body, face or hand, then generative AI to render the product on them from a photo or camera feed. It works best in eyewear, cosmetics, jewellery and apparel, and it reduces returns without removing them.
Can an Indian eCommerce company build both a website and a mobile app?
Yes. Many of the firms here build web storefronts and apps on a shared backend so inventory, pricing and customer accounts stay in sync. Ask whether the web, app and back-office are one codebase or separate systems.
How long does it take to build a custom eCommerce website in India?
It depends on catalogue size, integrations and custom logic. A focused storefront takes far less time than a marketplace or a B2B portal tied to an ERP. Ask any firm for a sprint-based plan with working software at each review.
How much does eCommerce development cost in India?
Cost depends on platform choice, integrations, custom logic and team model, so a number quoted before discovery is a guess. Ask for an itemised quote against your scope and compare what each includes, and see the cost guide for the main drivers.
How do I check that an eCommerce development company is legitimate?
Look for independent reviews on Clutch or GoodFirms, check the registered address and years in operation, ask to see live stores they built, and speak to a past client. Treat company-reported client counts as claims until verified.
Decide your commerce model first, then match it to the firms above, then test the two new capabilities with a live demonstration instead of a slide. A partner that can show you a working store, a working integration and an honest account of what is still in development is worth more than one with the longest list of badges.
If you are weighing a custom build, a replatform or an AI-led commerce layer and want a plain answer on whether it fits, you can read about Akoode's eCommerce development services or book a slot with our founder. No pitch deck, just a conversation about what you are trying to sell and where your current platform is holding you back.
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