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Integrates with Lightspeed & Pilot POSPOPIA CompliantLive in 10 Days

Stop Guessing Your Roster. Let AI Match Staffing to Demand.

South African restaurants waste thousands of rands monthly on overstaffing quiet shifts while scrambling for cover on busy ones. Our AI scheduling system uses your actual sales data and booking patterns to build perfect rosters - automatically.

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"We were bleeding on quiet Tuesday nights and always short on Fridays. The AI system showed us exactl…"

Angie Pietersen, Owner

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Your Roster Is Built on Guesswork - and It's Costing You

With South Africa's National Minimum Wage increasing annually and load-shedding adding unpredictable quiet periods, getting your staffing levels right is harder than ever. Most restaurant owners build rosters from memory and gut feel - leaving money on the table every single week.

  • Overstaffing on slow shifts is one of the top three controllable cost drivers in SA restaurants
  • Understaffing on peak nights leads to poor service, bad reviews, and staff burnout
  • Last-minute shift changes via WhatsApp group chats create confusion and no-shows
  • Managers spend 3-5 hours per week manually building rosters that could be automated
  • No visibility into actual labour cost vs revenue per shift until it's too late to adjust

Labour Is Your Biggest Cost - Yet Most Restaurants Manage It With a Spreadsheet

Labour typically accounts for 28-35% of restaurant revenue in South Africa. Shaving just 3-4 percentage points off your labour-to-revenue ratio through smarter scheduling puts tens of thousands of rands back on your bottom line every year.

32%
Average labour-to-revenue ratio for SA restaurants - industry target is 28%
R24,000
Average annual saving from AI-optimised scheduling for a 60-cover restaurant
4hrs
Saved per week by managers when roster building is automated

Demand-Driven Scheduling That Builds Your Roster for You

We connect your POS system and reservation data to an AI forecasting engine that predicts covers and revenue for every shift - then generates an optimal roster that meets demand without overspending on labour.

AI Demand Forecasting

The system analyses 12+ weeks of POS sales data, reservation trends, local events, and even load-shedding schedules to predict exactly how busy each shift will be - so your roster is built on facts, not guesswork.

Automated Roster Generation

A draft roster is generated automatically each week based on forecast demand, staff availability, and your labour cost targets. Managers review and approve in minutes instead of building from scratch.

Real-Time Labour Cost Dashboard

See your projected labour cost vs forecast revenue for every shift in real time. Get alerts when a shift is trending over your labour cost target before it happens - not after payroll.

Ready to implement this for your Restaurants?

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"We were bleeding on quiet Tuesday nights and always short on Fridays. The AI system showed us exactly what was happening and now our roster builds itself. We're down 4 percentage points on labour cost - that's an extra R18,000 a month we're keeping."
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Angie Pietersen

Owner, Kaia Kitchen, Stellenbosch

18%
Average reduction in excess labour cost within 30 days
4hrs
Saved per week on manual roster building per manager
10 days
From discovery to live AI-powered scheduling system

Improve Staff Scheduling for Restaurants

South African Market Perspective

Improving staff scheduling represents one of the highest-impact opportunities for South African restaurants businesses. In a market where customer expectations are shaped by world-class digital experiences from global brands, local businesses must deliver the same level of service quality with a fraction of the resources. AI-driven improvement in this area enables South African restaurants companies to close the gap, delivering measurable performance gains that translate directly to improved customer retention and revenue growth.

How It Works

1

Data Audit & Integration (Day 1-3)

We connect to your POS (Lightspeed, Pilot, or equivalent) and pull 12 weeks of historical sales data. We also import your existing staff profiles, roles, and availability constraints.

2

Forecasting Model Build (Day 4-8)

Our AI is trained on your specific trading patterns, including seasonal trends, local events, and load-shedding impact on covers. The first roster forecast is generated and reviewed with you to validate accuracy.

3

Launch & Labour Optimisation (Day 9-10+)

The system goes live generating weekly rosters. Staff receive their schedules via WhatsApp or email. You monitor the labour cost dashboard weekly and we optimise the model each month as more data comes in.

Ready to Improve Staff Scheduling?

Tell us about your business and we'll create a personalised AI automation plan.

Limited availability - we take on 4 new clients per month

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Frequently Asked Questions

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