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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 command layer for what and where to order
  • Detects user commands the way Siri does
  • Picks the food and places the order
  • Single app covers multiple merchants, with no extra fees
Speech-Recognition AI

User-Generated Content

  • Video and photo reviews of restaurants and their menus
  • Honest feedback simplifies the choice of a restaurant
  • Menu-level reviews speed up the cart decision
  • Community exchange built into the ordering app
User-Generated Content

Automated Search For Discounts

  • Discount search triggered by the same voice request
  • Finds coupons and extra deals for the specific order
  • Applies savings inside the hands-free flow
  • One command returns food and a discount
Automated Search For Discounts

Have a similar challenge? We can help!

Challenges & Solutions

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.

More cases like this

Get in touch!

Let's discover how we can help you reach your goals.

🌐
Danylo Karpa
Danylo Karpa
Head of Strategic Partnerships

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