Deliverect and SoundHound AI Partner to Automate Restaurant Voice Orders

Dutch-based Deliverect, a global restaurant technology platform, has formed a partnership with US-based SoundHound AI. The collaboration aims to bring fully automated voice ordering capabilities to restaurants worldwide.

The integration links SoundHound’s Smart Ordering system directly to Deliverect’s order and menu management platform. This allows SoundHound’s voice AI agents access real-time menu information from Deliverect, enabling them to take orders through various channels, including phone calls, drive-throughs, and kiosks.

Once an order is placed, it will be sent straight to the kitchen via Deliverect’s certified POS connections. This streamlined process eliminates the need for manual updates across different ordering channels, reducing errors and increasing efficiency.

The partnership also enables menu information synchronization in real-time from Deliverect, ensuring that all voice AI agents have access to up-to-date menus. This removes the need for manual updates, further streamlining operations.

According to Don MacMillan, head of US and Canada partnerships at Deliverect, ‘voice is the oldest ordering channel in the restaurant business.’ He notes that until now, it has been the least automated, but this partnership changes that.

The integration allows every spoken order to flow directly into the kitchen with the same accuracy and speed as a digital order. This means operators can focus on hospitality rather than handling orders manually.

Deliverect’s platform supports more than 100 languages, making the partnership particularly beneficial for international restaurant chains looking to extend their ordering infrastructure across channels and markets.

In an interview, Mike Lauricella, vice-president of channel partnerships at SoundHound AI, emphasized that ‘the future of restaurant hospitality relies on automation and convenience.’ He believes this partnership will help deliver a seamless customer experience by reducing front-of-house strain through automated order placement.