Sell everywhere with one view of stock

Rules online retailers in India must follow

The Consumer Protection (E-Commerce) Rules require online sellers and marketplaces to show seller details, total prices including all charges, return, refund and exchange policies, and the country of origin for goods, and to appoint a grievance officer who responds within set timelines. Packaged goods listings must carry Legal Metrology declarations such as manufacturer, net quantity and maximum retail price, just as the physical pack does. Missing fields can lead to listings being blocked.

The Central Consumer Protection Authority's guidelines on dark patterns prohibit tricks such as false urgency, hidden charges added at checkout, forced subscriptions and confusing cancellation flows. Tax rules matter too: marketplaces collect tax at source under GST and large businesses must issue e-invoices. Customer data falls under the DPDP Act. This is general information, not legal advice, so review your obligations with counsel.

• Show the full price, including delivery and convenience fees, before checkout.
• Display return and refund terms on every product page.
• Capture Legal Metrology fields in the product catalog structure.
• Make cancellation as easy as subscription signup.
• Record marketing consent separately from order data.

Integration challenges in retail

A modern retailer connects many systems: the storefront, an ERP or Tally for accounting, store POS, Amazon and Flipkart seller APIs, a shipping aggregator, payment gateways, a warehouse system and marketing tools. Each has its own product identifiers, order statuses and update timing. Most overselling, wrong refunds and stuck orders come from gaps between these systems rather than from any single one failing.

The fix is a clear source of truth for each data type, usually the ERP or an order management system for stock and orders, with event-driven sync to every channel and reconciliation jobs that catch mismatches. Mapping order states carefully, such as partial shipments, exchanges and returns to origin, prevents the edge cases that generate most support tickets.

• Pick one source of truth for stock, prices and orders.
• Sync stock changes to channels within minutes, not hours.
• Reconcile orders and payments daily across every channel.
• Map every marketplace order status to your own states.
• Alert on sync failures before customers notice.
• Test returns, exchanges and partial shipments end to end before launch.

Where AI fits in retail

Retailers see quick returns from AI in search and discovery: understanding misspelled and vernacular queries, recommending related products and ranking results by likelihood to buy. Generative models can draft product titles and descriptions for large catalogs, which staff then review, and support assistants can answer order status and return questions from live data.

Behind the scenes, demand forecasting helps buyers plan stock by store and season, and analysis of returns reveals sizing or quality problems with specific products. Keep humans in charge of pricing and promotions, test AI-written content for accuracy, and measure each feature against conversion, return rates and support volume rather than novelty.