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FOOD & BEVERAGE
Reducing Stall Wait Times by 55% with Smart Order Routing
Multi-vendor dining spaces with high customer traffic and shared environments. This system supports vendor coordination, billing, and centralized management. Ideal for organized operations.
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01 — Challenge
Challenge
The Downtown Food Hall operated twelve independent food stalls under one roof, but each stall used its own POS system with no central coordination. During lunch rush, the ramen and taco stalls developed fifteen minute lines while the dumpling and salad stalls sat completely idle. Customers routinely abandoned their orders after waiting ten to twelve minutes, costing the food hall an estimated USD 6,000 in lost weekly revenue. Stall operators had no visibility into nearby wait times, so they could not redirect customers. The biggest problem was split ticketing. A family wanting ramen, tacos, and dumplings had to stand in three separate lines and make three separate payments, taking over twenty five minutes just to place orders. The food hall owner needed a unified system that could route orders intelligently, balance traffic in real time, and allow one payment for multiple stalls without forcing customers to wait for each item separately.
02 — Approach & delivery
Approach & delivery
The Downtown Food Hall partnered with our Restaurant Management System team to deploy an integrated food court solution over thirty days. The approach focused on three core problems eliminating split payment friction, rebalancing stall traffic dynamically, and coordinating pickup times across multiple vendors.
First, we installed a central order hub at the food hall entrance. Customers approached a single touchscreen kiosk or ordered from their phones via a branded QR code on every table. The hub used our dynamic split ticket API. When a customer ordered ramen from stall three, tacos from stall seven, and dumplings from stall nine, the system automatically split the order into three separate tickets and sent each ticket directly to the appropriate stall kitchen display screen. The customer paid once at the hub. This eliminated the need to stand in three separate lines. Within two weeks, average time to place a multi stall order dropped from twenty five minutes to under three minutes.
Second, we solved the traffic imbalance problem with a live rebalancing dashboard mounted behind each stall counter. The dashboard showed real time wait times for every stall in the food hall, color coded green for under five minutes, yellow for five to ten minutes, and red for over ten minutes. When the ramen stall ticked into red territory, the system automatically prompted the host at the central hub to offer a dynamic discount. A banner appeared on the kiosk screen saying save two dollars on dumplings or one dollar on salad with any ramen purchase today. Customers who accepted the offer were routed to the underutilized stall. Over the first month, the dumpling stall saw a forty two percent increase in lunch volume, and the salad stall increased by twenty eight percent, all without adding marketing spend.
Third, we addressed the most common customer complaint picking up orders at different times from different stalls. A customer who ordered ramen, tacos, and dumplings typically received the dumplings first, then the tacos five minutes later, then the ramen three minutes after that. By the time the ramen arrived, the dumplings were cold. We deployed a vibration puck system. Each puck was assigned to a specific order, not a specific stall. The puck vibrated only when all items across all stalls were ready simultaneously. Stall operators could see on their display screens that they were waiting on another stall, so they timed their final plating accordingly. This reduced cold food complaints by sixty seven percent within sixty days.
Throughout delivery, we ran weekly training sessions for stall operators. Each operator learned to read the rebalancing dashboard, adjust portion sizes when traffic spiked, and communicate wait times back to the central hub. We also installed a stall performance analytics suite. Operators could see exactly which menu items caused bottlenecks, which ingredients ran out fastest, and which hours required additional prep staff. By day forty five, the food hall had fully transitioned from twelve separate businesses into one coordinated operation without removing any stall autonomy.
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