AI for the businesses where every customer matters.
From the moment a customer walks in to what they say after they leave — Serva gives hospitality and retail operators a clear view of the experience, the revenue, and the operational levers behind both.
The problems you already know about. Now made measurable.
- ●Customers walk out of the queue because the wait time is unclear — and you only find out when the review lands.
- ●Revenue leaves with every abandoned customer, with no way to put a number on what just walked out.
- ●Reviews land faster than any team can read, respond to, or act on.
- ●The same complaint keeps coming up and nobody has linked it to the specific operational cause behind it.
- ●Decisions get made on instinct because the data is there, but nobody has time to dig through it.
Two products. One picture of how your business actually runs.
Serva watches customer flow on the floor and what gets said online — then puts the two together. What happens when customers arrive shapes what they say when they leave. Connecting those two signals is what manual processes cannot do. Serva does it automatically.
Runs your walk-in customer flow. Predicts demand, keeps customers informed, and shows you in dollars what queue abandonment is actually costing you.
Explore Serva FlowReads every review across every channel, picks out the patterns that keep coming back, and gives you a structured fix — what to change, where, and why.
Explore Serva PulseWhat changes when Serva is running.
Know what your queue is costing you by shift, by day, and by location. Stop guessing.
Accurate wait times and proactive updates keep customers in the queue. The uncertainty is what makes them leave.
Recurring feedback patterns tied back to the specific operational cause, with the suggested change attached.
AI-drafted review responses in minutes. No backlog. No inconsistent voice.
What goes in. What does the work. What you get back.
- Customer check-ins and queue events
- Reviews from every major platform
- Bookings, revenue, and traffic data
- Customer profiles and visit history
- Queue and flow agents (Serva Flow)
- Sentiment and brief agents (Serva Pulse)
- Demand forecasting
- Cross-product correlation across flow and feedback
- Quantified revenue impact by time slot and location
- AI-drafted review responses
- Operational fix briefs for the issues that keep coming up
- A single, multi-location view of the business