Swiggy-Style Delivery Platform: Product Modules to Plan Before Development

A delivery platform is one order lifecycle expressed through four products. If customer, restaurant, courier and admin modules are planned separately, their states and promises diverge under the first exception.

The module list must follow commercial responsibility: who accepts work, who can cancel, when money changes obligation and how support repairs an inconsistent outcome.

This guide scopes each surface around shared state and measurable operations.

Define the marketplace model

Define the marketplace model is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats define the marketplace model as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for define the marketplace model before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For define the marketplace model, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For define the marketplace model, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned define the marketplace model decision, acceptance criteria and recovery record
• Stop condition: define the marketplace model cannot be explained or restored from durable evidence

Build customer identity and location

Build customer identity and location is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats build customer identity and location as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for build customer identity and location before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For build customer identity and location, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For build customer identity and location, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned build customer identity and location decision, acceptance criteria and recovery record
• Stop condition: build customer identity and location cannot be explained or restored from durable evidence

Govern restaurant onboarding

Govern restaurant onboarding is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats govern restaurant onboarding as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for govern restaurant onboarding before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For govern restaurant onboarding, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For govern restaurant onboarding, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned govern restaurant onboarding decision, acceptance criteria and recovery record
• Stop condition: govern restaurant onboarding cannot be explained or restored from durable evidence

Manage menus and availability

Manage menus and availability is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats manage menus and availability as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for manage menus and availability before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For manage menus and availability, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For manage menus and availability, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned manage menus and availability decision, acceptance criteria and recovery record
• Stop condition: manage menus and availability cannot be explained or restored from durable evidence

Checkpoint 4: reconcile the product promise with the recorded state. Support, finance, security, and delivery teams should be able to reach the same conclusion from the same identifiers without reconstructing events from chat messages or screenshots.

Create discovery and search

Create discovery and search is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats create discovery and search as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for create discovery and search before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For create discovery and search, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For create discovery and search, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned create discovery and search decision, acceptance criteria and recovery record
• Stop condition: create discovery and search cannot be explained or restored from durable evidence

Price carts and promotions

Price carts and promotions is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats price carts and promotions as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for price carts and promotions before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For price carts and promotions, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For price carts and promotions, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned price carts and promotions decision, acceptance criteria and recovery record
• Stop condition: price carts and promotions cannot be explained or restored from durable evidence

Confirm checkout idempotently

Confirm checkout idempotently is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats confirm checkout idempotently as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for confirm checkout idempotently before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For confirm checkout idempotently, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For confirm checkout idempotently, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned confirm checkout idempotently decision, acceptance criteria and recovery record
• Stop condition: confirm checkout idempotently cannot be explained or restored from durable evidence

Operate restaurant acceptance

Operate restaurant acceptance is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats operate restaurant acceptance as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for operate restaurant acceptance before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For operate restaurant acceptance, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For operate restaurant acceptance, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned operate restaurant acceptance decision, acceptance criteria and recovery record
• Stop condition: operate restaurant acceptance cannot be explained or restored from durable evidence

Checkpoint 8: reconcile the product promise with the recorded state. Support, finance, security, and delivery teams should be able to reach the same conclusion from the same identifiers without reconstructing events from chat messages or screenshots.

Coordinate preparation status

Coordinate preparation status is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats coordinate preparation status as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for coordinate preparation status before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For coordinate preparation status, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For coordinate preparation status, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned coordinate preparation status decision, acceptance criteria and recovery record
• Stop condition: coordinate preparation status cannot be explained or restored from durable evidence

Assign courier capacity

Assign courier capacity is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats assign courier capacity as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for assign courier capacity before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For assign courier capacity, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For assign courier capacity, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned assign courier capacity decision, acceptance criteria and recovery record
• Stop condition: assign courier capacity cannot be explained or restored from durable evidence

Track pickup and delivery

Track pickup and delivery is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats track pickup and delivery as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for track pickup and delivery before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For track pickup and delivery, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For track pickup and delivery, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned track pickup and delivery decision, acceptance criteria and recovery record
• Stop condition: track pickup and delivery cannot be explained or restored from durable evidence

Handle communication and notifications

Handle communication and notifications is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats handle communication and notifications as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for handle communication and notifications before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For handle communication and notifications, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For handle communication and notifications, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned handle communication and notifications decision, acceptance criteria and recovery record
• Stop condition: handle communication and notifications cannot be explained or restored from durable evidence

Checkpoint 12: reconcile the product promise with the recorded state. Support, finance, security, and delivery teams should be able to reach the same conclusion from the same identifiers without reconstructing events from chat messages or screenshots.

Resolve cancellation and refunds

Resolve cancellation and refunds is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats resolve cancellation and refunds as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for resolve cancellation and refunds before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For resolve cancellation and refunds, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For resolve cancellation and refunds, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: product owner
• Release evidence: versioned resolve cancellation and refunds decision, acceptance criteria and recovery record
• Stop condition: resolve cancellation and refunds cannot be explained or restored from durable evidence

Calculate earnings and settlement

Calculate earnings and settlement is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats calculate earnings and settlement as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for calculate earnings and settlement before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For calculate earnings and settlement, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For calculate earnings and settlement, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: engineering owner
• Release evidence: versioned calculate earnings and settlement decision, acceptance criteria and recovery record
• Stop condition: calculate earnings and settlement cannot be explained or restored from durable evidence

Build admin control and analytics

Build admin control and analytics is an independent decision inside a delivery marketplace connecting customers, restaurants, couriers, operators and financial settlement. It changes the user promise, the authority held by each role, the evidence retained by the product and the route used when ordinary processing fails.

The failure mode is concrete: the team treats build admin control and analytics as a feature label while lifecycle, permissions, consequences, ownership and recovery remain undefined. This is not solved by adding another screen or background job. The product has to define ownership, permitted transitions, and the evidence retained when the transition occurs.

For the first release, define the authoritative lifecycle, accountable owner, allowed transitions, customer-visible result and exception route for build admin control and analytics before implementation. Write that decision as an enforceable server-side rule, not guidance that depends on a client, operator, or AI model remembering the intended boundary.

Implementation should include For build admin control and analytics, retain stable identifiers, explicit states, server-side authorization, version checks, event and processing timestamps, reason codes, correlation IDs, audit history and a bounded recovery command. Keep the public response smaller than the internal record: users need a clear outcome and recovery path, while authorized operators need correlation IDs, policy versions, timestamps, and the before-and-after state.

Validate it with For build admin control and analytics, test the successful journey followed by stale state, duplicate delivery, concurrent commands, revoked authority, dependency timeout, partial completion, operator correction and reconciliation. Test the ordinary path, then repeat under timeout, duplicate delivery, stale state, partial failure, revoked authority, and concurrent requests. A feature is not ready when only the demonstration succeeds.

• Owner: operations owner
• Release evidence: versioned build admin control and analytics decision, acceptance criteria and recovery record
• Stop condition: build admin control and analytics cannot be explained or restored from durable evidence

Implementation references

Use OWASP API Security Top 10 and record the version applied during release review.

Validate against OWASP Authorization Cheat Sheet and record the version applied during release review.

Review NIST Cybersecurity Framework 2.0 and record the version applied during release review.

Compare with W3C WCAG 2.2 and record the version applied during release review.

Continue with Swiggy Clone when turning this guide into delivery scope.

Frequently asked questions

Which modules are essential?

Customer, restaurant, courier and operator capabilities joined by one order lifecycle.

Should the apps share one status model?

Yes, while each role sees only authorized actions and relevant detail.

How is overselling prevented?

Use menu schedules, item availability and confirmation rules.

When should dispatch begin?

Based on preparation evidence, travel time, capacity and the operating model.

What belongs in admin scope?

Cases, timelines, refunds, reassignment, restrictions, settlement and audit.

How are promotions governed?

Define funding party, eligibility, stacking, limits and settlement impact.

What should be tested at meal peaks?

Discovery, checkout, acceptance, dispatch, tracking, notifications and queues.

How should expansion be planned?

Make zones, rules, partners and configuration explicit rather than hard-coded.

Turn the plan into release evidence

A credible release connects the customer promise to durable state, scoped authority and an owned recovery route. Product, engineering, operations, security and support should reach the same conclusion from the same identifiers.

Keep the first scope narrow enough to rehearse under failure. Expand only after permissions, data, financial consequences and remedies remain consistent through retries, dependency outages and human mistakes.