
Game-Changing AI
Christina
Case Study:
DiDonato Family Fun Center
Polarity has been a game-changer. Thanks to their AI solutions, we've streamlined customer service, saved countless hours, and ensured our customers always get the answers and support they need quickly and effortlessly.
Client Overview
Based in New Jersey, DiDonato Family Fun Center is a beloved community hub offering bowling, an arcade, seasonal attractions, and a family-friendly restaurant. Known for providing fun for all ages, DiDonato’s was facing the not-so-fun challenge of constant phone calls disrupting staff workflows and delaying service.
The Challenge
Despite having a well-organized website, staff at DiDonato’s were fielding an overwhelming number of phone calls every day—most of them asking the same routine questions. Their outdated phone system only made things worse, relying on an expensive and rigid IVR setup that frustrated both customers and staff.
The AI Readiness Assessment
Through our readiness assessment, it was clear that two foundational issues were limiting their growth:
Customer service overload due to repetitive phone queries
Outdated communications infrastructure preventing modern solutions
We outlined a two-phase approach: automate the phones and optimize guest services using AI.
The Solution
In Phase One, we:
Built a custom AI Voice Agent, affectionately named DiDi, using a Small Language Model (SLM) trained on DiDonato’s website, flyers, and operational documents.
Upgraded their entire phone system, replacing an overpriced IVR with a modern cloud-based VOIP setup using a combination of hardware phones and softphones, customized for staff availability and routing.
Now when customers call, DiDi greets them with a warm voice and answers most questions automatically—from hours of operation to event details—saving staff hundreds of hours per month. We also track call metrics like:
Average call duration
Time to resolution
Sentiment/temperature of the call
Outcome success rate
Phase Two addressed the restaurant’s constant challenge: waitlist unpredictability. We deployed an AI-driven seating optimization tool that goes beyond traditional waitlist apps:
Tracks seating by table size and actual meal duration
Learns from repeat guest behavior to predict future wait times more accurately
Enables staff to offer realistic expectations and smoother service
The Impact
📞 Hundreds of staff hours saved monthly
🧠 Improved customer satisfaction with faster answers and friendlier interactions
🪑 Smarter seating management leading to shorter perceived wait times and more table turns
🤖 Ongoing data-driven improvements to both AI voice and seating systems