AR / VR·2026·Case study

TastyLens.

AR-powered food ordering with AI guidance and blockchain traceability

Category
AR / VR
Year
2026
Practice
React
Phase
Shipped
https://tastylensar.vercel.app/
TastyLens cover
Project
TastyLens
AR-powered food ordering with AI guidance and blockchain traceability
Case study

Problem, solution, and result.

A tighter story that reads like a real client case study.

Problem

Food ordering apps rarely help people understand what they are getting before they buy, and transparency across sourcing is usually hidden.

Solution

A visual AR ordering journey with AI recommendation support and blockchain-backed provenance for menu trust and traceability.

Result

Higher order confidence · Transparent sourcing · Immersive ordering experience

Solution architecture

A system designed to last.

Edge-native, observable and built for compounding velocity.

Module
AR menu surface
Module
AI recommendation engine
Module
Blockchain provenance layer
Module
Ordering workflow
Core
React
Project evidence

What was actually built.

A useful snapshot of the product and system behind the case study.

What changed
Challenge

Food ordering apps rarely help people understand what they are getting before they buy, and transparency across sourcing is usually hidden.

Solution

A visual AR ordering journey with AI recommendation support and blockchain-backed provenance for menu trust and traceability.

Project notes
Category
AR / VR
Year
2026
Primary stack
React
Type
B2C
Core surface
TastyLens main project visual

A project-specific visual that anchors the story without relying on a generic category mockup.

Project highlights
  • AR dish previews
  • AI meal suggestions
  • Blockchain traceability
  • Restaurant discovery
  • Order tracking
System snapshot
AR menu surfaceAI recommendation engineBlockchain provenance layerOrdering workflow
Outcome
AR
Preview mode
AI
Assistance
Features

Crafted surface. Considered system.

Grouped so the product read feels intentional instead of crowded.

Core experience

  • AR dish previews
  • AI meal suggestions
  • Blockchain traceability

Platform & systems

  • Restaurant discovery
  • Order tracking
Design & engineering process

Five movements. One outcome.

The work is easier to follow when each phase gets its own room.

01 · Discover

Stakeholder interviews, market analysis, success metrics and a sharpened product thesis.

02 · Define

Information architecture, user journeys, technical constraints and a pragmatic roadmap.

03 · Design

Editorial visual system, motion language and prototype-driven product surface design.

04 · Build

Type-safe full-stack engineering with observability, performance budgets and CI from day one.

05 · Launch

Phased rollout, telemetry, growth instrumentation and an always-on iteration cadence.

Exact stack used

These are the actual technologies used in this project, not a curated shortlist.

ReactTypeScriptAR UIBlockchainTailwind
Future scope

Voice ordering, smart cart bundles, and personalized dietary guidance.

Frequently asked

The story behind this work.

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