Audivi AI Eliminates Cost Barrier to QSR Drive-Thru Automation with Newly Released Pricing Model for Operators
Audivi AI's new pricing model lowers barriers for drive-thru automation in QSRs.
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Audivi AI has introduced a new zero-touch pricing model for its AI-powered voice ordering technology tailored for QSRs, greatly reducing cost barriers for operators. This model is expected to enhance ordering speed and accuracy while relieving labor pressures associated with drive-thru services. By absorbing hardware costs through a partnership with Quail Digital, the system can be deployed with minimal friction, improving operational efficiency across the sector.
Why It Matters
This shift in pricing and operational integration may significantly enhance unit economics for franchisees in the QSR sector, potentially leading to faster adoption of automation solutions in the face of labor challenges.
Audivi AI has unveiled a new pricing model for its Voice AI platform aimed at the quick service restaurant (QSR) sector, significantly reducing entry costs for drive-thru automation. This updated structure is a result of Audivi AI’s global partnership with Quail Digital, which eliminates hardware costs for operators by absorbing them and enabling pre-integration of the technology. As a result, restaurant operators can implement AI-driven ordering systems without the need for hardware procurement or lengthy capital budget approval processes, creating a "zero-touch deployment" model.
Jason M. Riggs, Chief Commercial & Product Officer at Audivi AI, noted, “Drive-thru automation has traditionally been locked behind capital budgets and complex deployments. By introducing this new price point.... we’re removing those barriers entirely.” The new model aims to provide operators with the benefits of automated ordering, including increased throughput, reduced errors, and enhanced customer satisfaction, while minimizing associated risks and enabling quicker returns on investment.
The Voice AI platform is designed for noisy drive-thru environments, facilitating natural voice interactions that manage complex orders, support multiple languages, and provide intelligent upselling—all achieving over 98% accuracy. The system aims to streamline operations while addressing ongoing labor shortages in the sector, potentially improving workforce management during staff absences.
This shift could redefine the cost dynamics of adopting advanced technologies in the QSR industry, particularly for franchise operators who may have previously deemed such automation solutions financially unfeasible. As operators embrace this new pricing model, they may enhance their service efficiency and customer experience without significant upfront investments. Moving forward, the adaptation of this automated ordering technology by franchise operators will likely depend on how quickly they can integrate these solutions into their operations and respond to ongoing labor challenges.
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