This article delves into the innovative application of voice and artificial intelligence (AI)-driven picking solutions in modern food and beverage warehousing and logistics. Through a practical case study of the global pizza chain giant Domino's Pizza in China, this article demonstrates how the Seuic Voice Picking System tackles the efficiency and accuracy challenges of traditional warehouse operations, increasing productivity by over 50% and providing a cutting-edge automated solution for the efficient supply chain operations of the fast-food industry.

User Background

In 1997, Domino's Pizza officially entered the Chinese market. As of mid-April 2022, the company had over 140 stores in Shanghai, over 120 stores in Beijing, and numerous stores in cities such as Hangzhou, Tianjin, Suzhou, Nanjing, Shenzhen, Guangzhou, Wuxi, Ningbo, and Dongguan, with a national total exceeding 480 stores. By October 9, 2023, the number of Domino's Pizza stores had exceeded 700. In the "World's 500 Most Valuable Brands 2020" list announced on January 9, 2020, Domino's Pizza ranked 368th.

Challenges

With continuous business development and rapid store network expansion, Domino's Pizza faces tremendous pressure in its back-end supply chain. The traditional warehouse picking model is labor-intensive, inefficient, and error-prone, no longer able to meet the growing demand for store replenishment and order fulfillment. Concurrently, warehouse expansion into more remote areas has driven up labor recruitment and training costs. How to achieve cost reduction and efficiency improvement while ensuring new employees can quickly get up to speed has become the core challenge in its supply chain management.

Before introducing the voice picking solution, Domino's Pizza's warehouse operations faced the following bottlenecks in efficiency, cost, and personnel management:

• Low operational efficiency, high error rate: Traditional picking operations relied on paper documents or handheld device scanning, resulting in cumbersome, time-consuming processes prone to human error, directly impacting store operations and customer satisfaction.
• High personnel training costs, recruitment difficulties: New employees had to undergo extensive professional training to familiarize themselves with warehouse layout, product locations, and the operation of complex mobile data terminals. With business expansion, the combined high training costs and increased recruitment difficulty in remote areas drove up overall labor costs and management complexity.

By deploying the Seuic Voice Picking solution, Domino's Pizza's warehousing operations achieved significant, quantifiable improvements:

• Leap in operational efficiency: Compared to traditional picking technologies, this voice solution increased warehouse productivity by over 50% and significantly shortened the overall order processing cycle.
• Significant reduction in human error rate: Through clear voice instruction guidance and confirmation, business processes were simplified, fundamentally reducing the probability of human error during picking and improving outbound accuracy.
• Optimized labor allocation and cost: New employees can immediately begin effective work under voice guidance without undergoing lengthy training on device operation and location memorization. This significantly reduces training investment, alleviates employee workload, and optimizes overall labor costs.

Domino's Pizza adopted an end-to-end voice picking solution provided by Seuic, integrated with artificial intelligence.

• System Integration: The solution deeply integrates the Warehouse Management System (WMS), industrial mobile computers, and wireless Bluetooth headsets, creating a seamless real-time information exchange environment.
• "Hands-Free, Eyes-Free" Operation Mode: Pickers only need to wear headphones, listen to precise voice commands issued by the system (such as location, product, and quantity), and provide verbal confirmation (e.g., "complete," "check"). The entire process requires no handheld devices or scanning operations.
• Out-of-the-Box, Rapid Deployment: This innovative model greatly lowers the operational barrier, enabling new employees to achieve "zero-training" onboarding. It helps enterprises quickly respond to business fluctuations and expansion needs, fundamentally achieving the core objectives of cost reduction and efficiency improvement.