Restaurant Chain

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Case

A restaurant chain integrated a Voice AI Agent to take delivery orders, propose menu suggestions, and reduce errors during peak hours.

Introduction

“FoodExpress” faced high call volumes for lunch and dinner, leading to overburdened phone operators. Mistakes in manual order entry cost the company money and harmed customer satisfaction. They aimed for quicker order handling and greater accuracy

Before Implementation

  • Average hold times were 2–3 minutes at meal rushes.

  • 5–7% of orders had errors due to manual entry

After Implementation

  • 60% of delivery orders are now handled by the AI Agent, cutting hold times to 30 seconds.

  • Mistakes dropped below 2%, saving on refunds and re-deliveries.

  • Customer satisfaction grew by 18%.

How It Works

  • The AI Agent greets callers, takes orders, and upsells items like combos or desserts.

  • It confirms delivery details, reducing manual data-entry errors.

Conclusion

By offloading routine phone orders to the AI system, “FoodExpress” significantly decreased order inaccuracies and hold times. Operators now manage VIP or complicated requests, and management reports improved profitability and brand loyalty.

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