Web & Mobile Development
SpeakMart
Voice-Enabled Quick Commerce for Elderly Users
In brief
SpeakMart is a Directrix Technologies product: Voice-Enabled Quick Commerce for Elderly Users. Summary: A quick-commerce app that lets elderly users search and order by speaking. Outcome: Demonstrates how voice interfaces can make quick commerce more inclusive for elderly users and people less comfortable with traditional app navigation.
Overview
Quick-commerce apps are designed around fast taps and small screens, which can be a barrier for elderly users. SpeakMart is a quick-commerce application that uses speech recognition so older users can find and order what they need by speaking.
The project focuses on accessibility and ease of use, making everyday grocery and essentials ordering more approachable for people who are less comfortable with conventional app interfaces.
What we built
- A quick-commerce application with a voice-first interaction model.
- Speech recognition to let elderly users search and order by speaking.
- An accessibility-focused experience designed around the needs of older users.
How we built it
We combined a commerce workflow with speech-recognition input, so spoken requests are converted into actions inside the app. The design priority was simplicity for elderly users, reducing the typing and navigation normally needed to place an order.
Services this project shows
Project outcome
Demonstrates how voice interfaces can make quick commerce more inclusive for elderly users and people less comfortable with traditional app navigation.
Interactive sample · runs in your browser
Place a sample order by voice or text
Explore one idea from this project with fictional sample content. It is not connected to the project's systems or data.
Say or type your shopping list
Speak naturally, the way you would to a shopkeeper. You always check the basket before anything is placed.
Your basket is empty.
Basket
Nothing yet. Add your list to fill the basket.
How this sample differs from the project: Simple phrase rules turn your words into a basket of fictional products. The project’s own speech and ordering stack is not shown, and nothing is ordered. It shows an interaction pattern, not a measured project result.