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Driving higher-quality leads and faster qualification through AI in QSR

Our client is an American fast-casual restaurant chain specializing in artisanal pizzas. The brand has enjoyed remarkable growth in franchisee store openings over the past decade, growing to over 350 locations across the US and internationally. 

The Challenge 


While franchise inquiries continued to flow into our client’s lead database at a steady pace, the development team faced a critical bottleneck: there was no scalable or consistent mechanism to qualify, prioritize, or nurture incoming leads.


A backlog of more than three years accumulated in the CRM, leaving many high-intent prospects uncontacted and ultimately disengaged. Lead triage was largely manual and inconsistent, with limited ability to distinguish serious candidates from low-intent submissions.  Compounding the issue, the franchisee intake forms themselves were basic with just a text field. This left the organization without the rich information necessary to meaningfully pre-qualify candidates at the outset. The lack of validation logic or intentional friction also opened the door to large volumes of spam, incomplete submissions, and invalid inquiries, further diluting team capacity and obscuring true demand within the funnel.  


The absence of automated follow-up meant that every lead, regardless of potential, required significant human effort, placing additional strain on the team. Leadership also lacked reliable visibility into funnel performance, lead quality, and conversion dynamics, restricting their ability to plan strategically for future growth. With franchisee lead information scattered across various disconnected platforms, the client necessitated a modern, data-driven approach that could reactivate the existing backlog while establishing a scalable, future-proof qualification system. Ultimately, the goal was to re-build the end-to-end lead qualification journey to ensure every new inquiry received timely, relevant, and consistent engagement. 


Our Approach 


Gravitas began by conducting a diagnostic assessment of the full franchise development lifecycle, from initial inquiry to awarded franchise. This analysis highlighted where prospects were dropping off, where response times lagged, and how inconsistent data capture was limited downstream decision-making.  

 The diagnostic made it clear that the team needed automation, better data capture, and real-time decisioning. To address this, we built an AI-powered solution anchored in four core capabilities. 


  1. Real-Time Scoring Model


First, real-time lead scoring enabled instant evaluation of every inquiry based on intent signals, financial readiness, territory alignment, relevant experience, and historical engagement behavior. Each lead generated a concise, human-readable insight brief, allowing the development team to quickly grasp the “so-what” without combing through raw data. 


  1. Automated Nurture and Decisioning Workflows


Second, we deployed automated nurture and decisioning workflows that translated lead scores into targeted actions. High-value prospects were immediately escalated for human outreach; mid-intent leads entered structured nurture sequences; and low-quality submissions were deprioritized, all without requiring manual intervention. This created a consistent, right-time engagement model that optimized team capacity.  


  1. New-and-Improved Franchise Intake and Application Forms


Third, we resigned the franchise intake and application process itself. Improved validation logic, data-quality controls, and strategically placed friction reduced spam and low-intent submissions, improving both efficiency and the overall quality of the funnel. 


  1. Executive Dashboard Visibility


Finally, we introduced an executive dashboard to centralize visibility into pipeline health, illuminating lead sources, conversion drivers, sales SLAs, and progression velocity across stages.


To ensure sustained adoption, we provided targeted training for leadership and frontline teams, emphasizing both the operational benefits and strategic rationale for the new system. 

 

Key Outcomes 


Within weeks of deployment, the client experienced a measurable transformation in franchise development performance.


Qualified lead conversations increased by 300 percent, expanding the pool of viable candidates. The 36-month backlog was fully cleared, with high-potential prospects successfully reactivated through personalized outreach. The team began consistently booking more than 30 calls per week with pre-qualified candidates, an increase from virtually none before the engagement. The qualification cycle compressed from months to days, dramatically accelerating movement through the pipeline. Manual triage requirements declined significantly, allowing the sales team to focus on relationship-building and late-stage deal closures.  


The result was a shift from reactive screening to proactive selling. Leadership now benefits from reliable, real-time visibility into pipeline performance, while prospective franchisees experience timely, personalized engagement from their first interaction. Together, these capabilities have strengthened brand confidence, improved operational efficiency, and accelerated franchise growth. 

Key outcomes

300 %

increase in qualified lead conversations

36-month

backlog fully cleared

30+

qualified lead calls a week

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