Restaurant staff member using tablet with restaurant management software development solutions for order processing and kitchen operations.

Restaurants & Hospitality Solutions

Kitchen Intelligence at Scale

AI and computer vision systems that surface the operational data your kitchen’s been generating but never using.

What We Build for QSR Teams

Demand Forecasting

Build your prep list around data, not last night’s sell-through.

Our forecasting engine draws on your POS history, cover counts, catering orders, and promotional calendar to generate daily prep guidance by item and station — tuned to your menu and your location.

  • Right pars, every daypart: less overproduction
  • Hourly prep lists broken down by item and station
  • Adjusts for day-of-week trends, seasonal shifts, and local demand signals
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Waste Bin Monitoring

Track plate waste back to its source.

Intelligent video analytics at your waste stations log what gets discarded, in what volume, and at what point in the production cycle. That data feeds directly into your forecasting model, so your pars get tighter with every service.

  • Waste event logging by item and daypart
  • Variance reports: theoretical yield vs. actual production
  • Closed-loop integration with demand forecasting
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Real-Time Food Prep Monitoring

Every station running clean, every shift.

Sensors and computer vision monitor your hot-holding stations and cooking lines in real time, automatically pushing prioritized tasks to your KDS. Your team knows what to fire, what to pull, and when — without the expo calling it out.

  • Hold window violations caught before they hit the pass
  • Task recommendations delivered to KDS (tablet and mobile)
  • Smart alerts with escalation rules by role
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Floor & Queue Monitoring

Keep covers moving. Keep the BOH in sync.

Intelligent video analytics track queue length, table status, and turn timing — surfacing alerts before wait times build.

  • Queue alerts with configurable thresholds
  • Table status tracking: occupied → clearing → cleaned → available
  • Cleaning alerts pushed to floor staff devices
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Order Assembly Automation

Every ticket that leaves the kitchen is the right one.

Computer vision verifies order accuracy at the assembly station before anything hits the pass — cutting remakes, reducing comps, and protecting ticket time when covers are stacking up.

  • Real-time order verification against live POS tickets
  • Instant alert when a mismatch is detected
  • Remake and error rate reporting by station, shift, and item
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AI for General Managers

An agentic AI interface that lets your GM query BOH performance in plain language: what’s driving plate waste at Station 3, which prep items are most likely to get 86’d this weekend, where hold window violations spiked last service. Covers daily demand prediction, inventory optimisation, food safety monitoring, and KDS workflow automation.

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How we work

1

Discovery

We learn how your kitchen actually runs: your stations, your prep flow, your biggest friction points.

2

Solution design

We map the right sensors, cameras, and integrations for your specific operation.

3

Prototype

You see real outputs in your kitchen before full commitment.

4

Integration

We connect POS, KDS, hardware, and reporting without disrupting service.

5

Deployment

We go live with your team and stay close through the stabilization period.

6

Optimization

Your system tightens with every service. We refine, expand, and evolve alongside you.

Contact us

Ready to See What Your Kitchen's Been Telling You?

Talk to a Softarex engineer and get a deployment plan with clear milestones before you commit.

Contact us now

Technologies

Intelligent Video Analytics

Intelligent Video Analytics

Operational AI

Operational AI

Device Integration & IoT

Device Integration & IoT

Intelligent Video Analytics

Computer vision across production lines, assembly stations, and waste points:

  • Hold window violations detected before they reach the pass
  • Order assembly verified against live POS tickets at the station
  • Waste events logged by item, volume, and point in the production cycle
  • Queue length and table status tracked across the floor in real time
  • No manual logging — events captured and recorded automatically

Intelligent Video Analytics

Computer vision across production lines, assembly stations, and waste points:

  • Hold window violations detected before they reach the pass
  • Order assembly verified against live POS tickets at the station
  • Waste events logged by item, volume, and point in the production cycle
  • Queue length and table status tracked across the floor in real time
  • No manual logging — events captured and recorded automatically

Operational AI

AI that delivers the right notifications to the right role, at the moment it’s actionable:

  • Hold window approaching its limit — pushed to the relevant station before violation
  • Par running low — flagged before the 86 happens
  • Waste spike mid-service — surfaced for immediate investigation
  • Configurable thresholds and escalation rules by role and station
  • Delivered to KDS, tablet, or mobile — wherever your team is on the line

Device Integration & IoT

Sensor infrastructure that captures the operational data your POS never sees:

  • Temperature sensors at hot-holding stations and walk-ins, monitored continuously
  • Weight sensors at prep and waste stations for par accuracy and waste logging
  • Real-time data feed into forecasting and monitoring models
  • Works with existing kitchen equipment — no remodelling required

Frequently Asked Questions

How long does implementation take?

A focused deployment — demand forecasting plus KDS integration — typically goes live in 3–4 months. A full system with computer vision, IoT sensors, and custom analytics runs 6–9 months. Every phase has clear milestones before you move to the next.

Do I need to reconfigure the kitchen?

No. Our sensor and camera systems are designed to work with your existing stations. The investment is in sensors and cameras — not in remodelling the line.

How is this different from other restaurant management solutions?

Those platforms are built on POS data — they tell you what you sold. We capture what happened in the kitchen before the sale: what was prepped, what sat in the hold window, what went in the waste bin. The result is a fuller picture of where your COGS is going — and a system built around your operation, not configured from a template.

What does it cost?

We scope every engagement individually. After a discovery session you'll get a detailed proposal — what's included, what each phase costs, and what to expect at each milestone — before you commit.

Our experts

We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.

Maksim

Maksim

VP of Engineering

In over 13 years of my professional career, I have evolved into a visionary technology leader, overseeing engineering teams and large-scale projects across industries such as Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

As VP Engineering, I’m focused on driving innovation, optimizing processes, and delivering robust, scalable systems. A standout achievement in my career was leading the development of a cutting-edge Computer vision-based kitchen management platform for a large restaurant chain, which I consider a defining milestone in my professional journey.

Maksim1

Maksim

VP of Engineering

Igor1

Igor

Lead Software Engineer

Maksim2

Maksim

VP of Engineering

In over 13 years of my professional career, I have evolved into a visionary technology leader, overseeing engineering teams and large-scale projects across industries such as Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

As VP Engineering, I’m focused on driving innovation, optimizing processes, and delivering robust, scalable systems. A standout achievement in my career was leading the development of a cutting-edge Computer vision-based kitchen management platform for a large restaurant chain, which I consider a defining milestone in my professional journey.

Learn more
Igor2

Igor

Lead Software Engineer

My career at Softarex started nearly eight years ago, and I am now a Lead Software Engineer. I have worked on developing a smart Production Control System for a restaurant chain, an AI-based computer vision and automation platform, a Store Occupancy Tracking system, and an app for analyzing player activity on the field.

As a skilled IT specialist with extensive knowledge in machine learning, deep learning, and computer vision, I have a strong background in model design, mathematical optimization, and developing complete ML/DL solutions. My experience includes building computer vision solutions for monitoring food production lines, recognizing license plates and faces, analyzing receipts, and creating intelligent automation tools like dietary recommendation and production control systems.

My main tasks involve leading teams, planning and designing software structure, coding, preparing technical documents, testing, and deploying solutions. I focus on continuous growth and always aim to include the latest technologies and best practices in every project I manage.

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