Restaurant Onboarding
Jio/food-delivery
(2026)
Designed an end-to-end food ordering experience for Jio Meals, from concept to interface, as a seamless, visually immersive, and engaging product
Mobile
B2C
Role
Lead Designer
Services
UX Design | Visual Design | Design System | Prototyping
Context
FoodDelivery's partner app is where restaurant owners sign up to start receiving orders on the platform. Restaurant acquisition is the single biggest growth lever for any food-delivery marketplace, but the legacy flow asked owners to type out menus by hand, manually enter compliance details (PAN, GST, FSSAI, bank), and wait days for verification. Drop-off was concentrated in two places: menu entry and document upload. The brief was simple: make this take 5 minutes, not 5 days.
Problem
Two drop-off zones: menu entry and document upload.
Rather than incrementally improving each step, I designed a flow that front-loaded magical moments, Google profile auto-fill, AI menu scanning, and live document verification so owners felt the system working for them before they hit anything resembling paperwork.
Purpose & Goals
Compress time-to-onboard from days to minutes — promised explicitly at the top of the flow ("Lightning fast onboarding in just 5 mins")
Eliminate manual menu entry — the biggest friction point for restaurants without a digital menu
Make compliance feel safe, not scary — PAN, GST, and FSSAI verification is intimidating for small owners; the flow had to hand-hold without patronising
Allow partial completion and resume — owners often need to step away to find a document; nothing should be lost
Support both ends of the market — single-outlet local restaurants and chains with POS systems, in one flow
My role
I led end-to-end design from research through final UI. I worked with the product manager to map the legacy drop-off points, with engineering to scope what was feasible for AI-driven menu extraction and Google Business auto-fill, and with the compliance team to make sure every regulatory step (PAN verification, GST conditional logic, FSSAI mandate language) was both accurate and approachable.
Key design decisions
Auto-fill from Google Business profile
instead of typing 15+ fields (address, hours, cuisine, photos), owners search their restaurant name, tap their listing, and watch the profile populate in seconds. A "Hang tight, we'll get your details immediately" interstitial sets expectations.
AI menu generation from photos
The standout moment of the flow. Owners point their camera at their printed menu (one page at a time, multiple captures supported), and AI extracts every dish with name, category, price, and an auto-generated description. The "Review generated menu" screen lets owners edit any item, mark veg/non-veg, set spice level, flag bestsellers, and reorganise turning a half-day data entry job into a 90-second review.
Conditional logic that respects the user
"Are you GST registered?" branches the flow appropriately, and a "Are you sure you are not registered under GST?" confirmation explains the implications (verification delays, ₹20L annual threshold, GST collection obligations) before letting the user proceed preventing costly later rework.
UX/UI Design
Talking to restaurant owners surfaced one core truth: the people signing up are usually doing it on the floor, distracted, between services. They don't have 30 minutes they have 5. So instead of adding more handholding, we focused on removing steps where owners get stuck and replacing them with automation.
Owners hate typing menus. Every owner already has their menu printed — let them photograph it.
Owners trust their Google listing. If the details are already there, don't make them type it again.
Compliance feels scary because it feels opaque. Live Verified states do more for trust than any explanatory copy.
/Mobile App
Tell users what they're signing up for
The flow opens with the five steps laid out vertically and a checklist of documents to have handy. The visible structure removes the worst kind of friction the surprise kind
One input. Fifteen fields populated
Instead of asking owners to type name, address, hours, cuisine, and photos, the flow starts with their restaurant name and pulls everything from their Google Business profile. A manual entry link sits below quietly available, never in the way.
Point your camera at a printed menu
The AI extracts each dish's name, category, price, and an auto-generated description. A half-day data entry job becomes a 90-second review
Live Verified badges do more for trust than copy
PAN, GST, FSSAI, and bank sit in a single accordion so owners see the full scope at a glance. Each field gets a green verified badge the moment it's validated against government records
Sign in to the app. See the dashboard waiting
The partnership agreement closes with an inline signature pad. Owners land on a status screen with the partner dashboard already visible behind it intentionally locked but visible
Read Next
Restaurant Onboarding
Jio/food-delivery
(2026)
Designed an end-to-end food ordering experience for Jio Meals, from concept to interface, as a seamless, visually immersive, and engaging product
Mobile
B2C
Role
Lead Designer
Services
UX Design | Visual Design | Design System | Prototyping
Context
FoodDelivery's partner app is where restaurant owners sign up to start receiving orders on the platform. Restaurant acquisition is the single biggest growth lever for any food-delivery marketplace, but the legacy flow asked owners to type out menus by hand, manually enter compliance details (PAN, GST, FSSAI, bank), and wait days for verification. Drop-off was concentrated in two places: menu entry and document upload. The brief was simple: make this take 5 minutes, not 5 days.
Problem
Two drop-off zones: menu entry and document upload.
Rather than incrementally improving each step, I designed a flow that front-loaded magical moments, Google profile auto-fill, AI menu scanning, and live document verification so owners felt the system working for them before they hit anything resembling paperwork.
Purpose & Goals
Compress time-to-onboard from days to minutes — promised explicitly at the top of the flow ("Lightning fast onboarding in just 5 mins")
Eliminate manual menu entry — the biggest friction point for restaurants without a digital menu
Make compliance feel safe, not scary — PAN, GST, and FSSAI verification is intimidating for small owners; the flow had to hand-hold without patronising
Allow partial completion and resume — owners often need to step away to find a document; nothing should be lost
Support both ends of the market — single-outlet local restaurants and chains with POS systems, in one flow
My role
I led end-to-end design from research through final UI. I worked with the product manager to map the legacy drop-off points, with engineering to scope what was feasible for AI-driven menu extraction and Google Business auto-fill, and with the compliance team to make sure every regulatory step (PAN verification, GST conditional logic, FSSAI mandate language) was both accurate and approachable.
Key design decisions
Auto-fill from Google Business profile
instead of typing 15+ fields (address, hours, cuisine, photos), owners search their restaurant name, tap their listing, and watch the profile populate in seconds. A "Hang tight, we'll get your details immediately" interstitial sets expectations.
AI menu generation from photos
The standout moment of the flow. Owners point their camera at their printed menu (one page at a time, multiple captures supported), and AI extracts every dish with name, category, price, and an auto-generated description. The "Review generated menu" screen lets owners edit any item, mark veg/non-veg, set spice level, flag bestsellers, and reorganise turning a half-day data entry job into a 90-second review.
Conditional logic that respects the user
"Are you GST registered?" branches the flow appropriately, and a "Are you sure you are not registered under GST?" confirmation explains the implications (verification delays, ₹20L annual threshold, GST collection obligations) before letting the user proceed preventing costly later rework.
UX/UI Design
Talking to restaurant owners surfaced one core truth: the people signing up are usually doing it on the floor, distracted, between services. They don't have 30 minutes they have 5. So instead of adding more handholding, we focused on removing steps where owners get stuck and replacing them with automation.
Owners hate typing menus. Every owner already has their menu printed — let them photograph it.
Owners trust their Google listing. If the details are already there, don't make them type it again.
Compliance feels scary because it feels opaque. Live Verified states do more for trust than any explanatory copy.
/Mobile App
Tell users what they're signing up for
The flow opens with the five steps laid out vertically and a checklist of documents to have handy. The visible structure removes the worst kind of friction the surprise kind
One input. Fifteen fields populated
Instead of asking owners to type name, address, hours, cuisine, and photos, the flow starts with their restaurant name and pulls everything from their Google Business profile. A manual entry link sits below quietly available, never in the way.
Point your camera at a printed menu
The AI extracts each dish's name, category, price, and an auto-generated description. A half-day data entry job becomes a 90-second review
Live Verified badges do more for trust than copy
PAN, GST, FSSAI, and bank sit in a single accordion so owners see the full scope at a glance. Each field gets a green verified badge the moment it's validated against government records
Sign in to the app. See the dashboard waiting
The partnership agreement closes with an inline signature pad. Owners land on a status screen with the partner dashboard already visible behind it intentionally locked but visible
Read Next
