Presto provides an AI‑driven voice assistant that automates drive‑thru order taking by connecting to existing speaker, POS, and headset hardware. The system conducts multilingual natural‑language conversations, inserts context‑aware upsell prompts, and streams data to a cloud analytics suite for real‑time performance and revenue tracking. By handling the full ordering flow, it reduces labor bottlenecks, improves order accuracy, and shortens service times for quick‑service restaurants.
Funding
Funding not disclosed
Founders
Product
Problem
Drive‑thru restaurants rely on human staff to take orders, which creates labor bottlenecks, inconsistent upselling, and higher rates of order errors, especially during peak periods. These inefficiencies increase wait times and limit revenue growth.
Solution
Presto delivers an AI‑driven voice assistant—Presto Voice™—that automates order taking directly from the drive‑thru speaker system. The platform integrates with existing point‑of‑sale (POS) and headset hardware, using in‑house natural‑language understanding and large‑language models to conduct natural, multilingual conversations with guests. It inserts context‑aware upsell prompts (preference‑based, time‑based, and item‑modification) on every interaction, boosting average ticket size while maintaining order accuracy. By handling the entire ordering flow, the assistant frees staff to focus on food preparation and customer service, reducing labor strain and shortening service times. All interactions are streamed to a cloud analytics layer that provides real‑time performance dashboards, error tracking, and revenue impact reports. The solution can be deployed at scale within a few hours and operates 24/7 with optional human‑in‑the‑loop supervision for complex orders.
Target Audience
The primary customers are quick‑service restaurant chains and independent drive‑thru locations that operate POS systems and seek to improve throughput, staff efficiency, and average order value.
Features
- Seamless integration with legacy POS, drive‑thru speaker, and confirmation‑board hardware via pre‑built connectors.
- Menu‑unification engine that normalizes disparate QSR menus into a single structured data model for rapid onboarding.
- Multilingual conversational capability, enabling consistent service for diverse customer bases.
- Four AI deployment modes (supervised, pure, agent‑led, unsupervised) to match each location’s operational requirements.
- Real‑time, preference‑based and time‑based upsell engine that generates context‑specific offers during the ordering flow.
- Cloud‑hosted analytics suite with order‑accuracy metrics, throughput statistics, and revenue uplift dashboards.
- Day‑part greeting customization and brand‑level menu management for multi‑location operators.
- 24/7 virtual employee with optional remote‑agent escalation for handling ambiguous or complex orders.