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VoiceOrder.AI

A voice-first mobile app that places restaurant orders, applies discounts, and hosts video reviews from a single spoken request.

Services
Web App Development ServicesCustom Mobile App Development ServicesDedicated Development Team
Client
VoiceOrder.AI
Location
California, USA
Industry
Ecommerce Marketplace Development Services
Results
30%
Increased Order Volume
25%
Better Customer Retention
20%
Faster Ordering Process
Current thumbnail
Team
Tech Lead / Software ArchitectAI / LLM EngineerPython API EngineerFull-Stack TypeScript EngineerReact Native DeveloperAWS Cloud EngineerQA Automation Engineer
Technologies
Node.js
Node.js
Python
Python
Flask
Flask
PostgreSQL
PostgreSQL
Redis
Redis
React Native
React Native
Amazon Web Services
Amazon Web Services

Speech-Recognition AI

Voice-first ordering that turns a spoken request into a placed order. The user says where and what to order, and the assistant runs the request.
  • On-screen prompts show the exact phrase to say
  • Typed search available as an input alongside voice
  • Vendor and product results returned for each request
  • One app covers multiple restaurant brands
Speech-Recognition AI

User-Generated Content

Users rate and review products and attach media. Reviews sit on restaurants and menu items for the community.
  • Star rating control on each product
  • Comment field on the review screen
  • Photo and video attachments on reviews
  • Creator tools available from settings
User-Generated Content

Automated Search For Discounts

The voice request that places an order also searches for savings. The app scans coupons and deals tied to the order.
  • Discount search triggered by the ordering request
  • Scans coupons and extra deals for the specific order
  • Applies savings inside the hands-free flow
  • Returns food and a matching discount from one command
Automated Search For Discounts

Settings & Vendor Matches

Search splits results into vendor and product groups, and a settings hub holds the account controls. Restaurants and dishes return as separate lists.
  • Vendor matches list restaurants for the query
  • Product matches list dishes with prices
  • Settings hub covers account, orders, and payment methods
  • Favorites and contact support reachable from settings
Settings & Vendor Matches

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Challenges & Solutions

During our work on this project, we've faced a lot of complicated challenges. We believe that each challenge has a solution. See yourself!
challenge #1
Background noise affects voice recognition
solution #1

Noise-canceling AI filters to improve speech accuracy in noisy environments.
challenge #2
Orders come with custom requests
solution #2

A natural language processing layer extracts custom order notes from unscripted speech and attaches them to the order.
challenge #3
Every user expects different results
solution #3

Algorithm-driven content personalization ranks results against the user's history data, preferences, and previous interactions.

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Anastasiia Pryshliak
Anastasiia Pryshliak
Senior Partnerships Manager

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