Velora Dining automated 80% of order-taking across 12 locations

80%

Orders automated

Locations covered

More feedback collected

50%

Faster order processing

A premium restaurant chain deployed AI agents to handle digital orders, reservations, and customer feedback, scaling from 3 to 12 locations without adding staff.

The Challenge

Velora Dining was growing fast, from 3 locations to 12 in under a year. Each new restaurant meant hiring order-takers, training them on the menu, and managing shift schedules. During Friday dinner rushes, phone lines were constantly busy, and online orders had a 20% error rate due to miscommunication.

The management team needed a way to standardize order-taking quality across all locations while keeping labor costs under control during rapid expansion.

The Solution

Velora deployed Botonom agents at every location. Each agent was equipped with the Turkish NLP Engine for local customers and Multi-Language Translation for tourists. The agents were connected to their POS system via REST integration.

Key configurations: - Digital menu with real-time item availability - Upselling logic (suggest drinks, desserts, combos) - Reservation management with table optimization - Post-dining feedback collection via WhatsApp

The agents share a single token pool across all 12 locations, so quieter branches don't waste budget while busy ones get the capacity they need.

AI Employees Hired

Customer Service Rep

Order Taking

Sales Representative

Upselling & Promos

Executive Secretary

Reservation Management

Timeline: 6 months

The Results

80% of all incoming orders are now handled entirely by AI agents, from greeting to payment confirmation. Order accuracy improved to 98.5%, up from 80%.

The feedback agent collects 3x more customer reviews than the previous manual process, and sentiment analysis flags issues in real-time so managers can intervene before a negative review goes public.

Velora estimates they saved the equivalent of 8 full-time salaries across their expansion, while actually improving service quality scores.

“Our AI agents handle orders across all 12 locations simultaneously. We scaled from 3 restaurants without hiring a single extra support person.”

Marco Rossi

COO, Velora Dining

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Velora Dining automated 80% of order-taking across 12 locations

The Challenge

The Solution

AI Employees Hired

The Results

Your AI employees are ready to workAre you ready to hire?

Velora Dining automated 80% of order-taking across 12 locations

The Challenge

The Solution

AI Employees Hired

The Results

Your AI employees are ready to work
Are you ready to hire?