Rules food businesses must follow in their software
Food businesses in India operate under FSSAI licensing, and the license number must appear on menus, bills and online listings, including your own ordering app. Under FSSAI's labelling and display regulations, chains with central licenses or ten or more outlets must display calorie information on menus, and allergen and vegetarian or non-vegetarian indicators are expected for many items. Menus and product data in software should hold these fields from the start.
Restaurant bills must calculate GST correctly for the type of establishment, and larger businesses may fall under e-invoicing. Customer phone numbers and order history used for marketing fall under the DPDP Act, so consent for promotional messages should be recorded. This is general information, not legal advice; check current FSSAI and tax rules with your advisers.
- Store FSSAI license numbers per outlet and print them on bills.
- Add calorie, allergen and veg or non-veg fields to every menu item.
- Apply the correct GST rate by outlet type.
- Record customer consent before sending promotions.
- Keep menu and price change history for audits.
- Show the license and nutrition data on every ordering channel.
Integration challenges for restaurants
A busy outlet may take orders from dine-in tablets, a QR menu, its own app, Swiggy, Zomato, ONDC network apps and phone calls at the same time. If each order lands in a different screen, staff re-enter them into the POS and kitchen, which causes errors and delays at peak hours. Menus and item availability must also stay in sync, or customers order dishes that sold out an hour ago.
The goal is one order pipeline. Aggregator and direct orders flow into the POS, POS tickets route to kitchen display stations by section, item availability syncs back to every channel, and payments and settlements reconcile with accounting. Inventory and recipe data then show true food cost per dish across channels.
Delivery adds another layer: own riders, aggregator fleets and third-party delivery providers each need dispatch, tracking and settlement. Choosing a POS with open APIs, or adding a middleware layer, avoids being locked into one vendor's partner list. Settlement reports should break down fees per channel.
Where AI fits in restaurants
Forecasts of covers and orders by hour help kitchens prepare the right quantities and schedule staff, reducing waste and stockouts. Menu engineering analysis combines popularity and margin to show which dishes to promote, reprice or drop. Review analysis surfaces recurring complaints by outlet, and WhatsApp or voice ordering assistants can take repeat orders and answer menu questions. Even simple forecasts help.
Recommendation features suggest add-ons that fit the order, and prep time predictions give customers honest delivery estimates. Start with the data you already have in your POS, measure waste and ticket times before and after, and keep managers in control of pricing and menu decisions.
