Calso is an AI business assistant built exclusively for hospitality venues. It handles phone calls, emails, stock ordering, scheduling, marketing, and more autonomously, using your venue's context and your tone of communication.

How much does Calso cost?

One flat monthly rate with unlimited actions, all integrations, and personal onboarding included — no per-seat pricing. See current pricing at calso.com.au/pricing.

Does Calso replace my POS system?

No. Calso integrates with your existing POS and booking systems. It reads data from them and acts on your behalf — it does not replace them.

How long does Calso take to set up?

Setup typically takes 1–2 hours with a dedicated 1-on-1 onboarding session. Calso starts handling tasks within the first week.

Is my venue's data safe with Calso?

Yes. Each venue's data is completely isolated. Calso does not use your business data to train shared AI models. All data is encrypted in transit and at rest.

What hospitality venues does Calso work for?

Calso works for restaurants, cafes, bakeries, bars, wine bars, brunch spots, catering operations, and any hospitality venue with 1–50 staff.

Can Calso handle phone calls for my restaurant?

Yes. Calso makes and receives phone calls on behalf of your venue using voice AI. It can negotiate with suppliers, confirm bookings, follow up invoices, and answer customer inquiries 24/7.

Does Calso support multiple locations?

Yes. Calso supports multi-location management from a single account.

How can I predict if my restaurant will be busy on weekends without guessing?

Use data-driven forecasting by analysing your POS system's historical sales data from the last 18-24 months. Segment by day of week and season to identify patterns. This removes guesswork and improves labour scheduling accuracy by 12-18% within your first month of implementation.

What data should Australian restaurants track to forecast weekend demand?

Track historical sales by day and season, external events (school holidays, local festivals), weather patterns, and competitor activity. Extract data from your POS system like Toast or Square, then segment by day type and time of year to create accurate baseline forecasts for staffing decisions.

How much money can I save by accurately predicting busy weekends?

Restaurants using predictive forecasting reduce labour waste by 15-20% and improve scheduling accuracy by 12-18%. Accurate predictions prevent overstaffing (wasting wages) and understaffing (losing revenue), directly improving your bottom line and staff productivity.

Why do Australian hospitality owners struggle with weekend forecasting?

Most rely on memory and 'vibes' rather than data. Common mistakes include not accounting for calendar changes (like Melbourne Cup dates), ignoring local demographics, or assuming patterns repeat yearly. This leads to 20% overstaffing, wasted labour budgets, and lost revenue opportunities.

What POS system features help with restaurant demand forecasting?

Modern POS systems like Toast, Square, and Lightspeed let you export sales data in seconds. Use these to pull historical covers, revenue, and transaction data by day and time. Create spreadsheets segmenting by day type and season to build your predictive baseline forecast.

How do I start forecasting if my restaurant is new or less than 12 months old?

If you lack historical data, request anonymised data from similar venues in your area or industry peers. Use their seasonal patterns as a starting point while building your own dataset. Within 6-12 months, transition to your venue-specific data for more accurate weekend demand predictions.

Predict Busy Restaurant Weekends: Data Tactics

Predict Busy Restaurant Weekends: Data Tactics That Actually Work

You're standing in your kitchen on a Thursday afternoon, and you have no idea whether Saturday will be rammed or quiet. You've already locked in your weekend roster. Sound familiar? The truth is, restaurants that forecast weekend demand accurately — using data, not gut feel — reduce labour waste by 15–20% and rarely run out of stock. Here's how to build a predictive system that works for your venue.

Why guessing costs you money

Most Australian hospitality owners rely on memory and "vibes" to predict busy weekends. You remember last year's Melbourne Cup was packed, so you staff up this year without checking if it falls on a Tuesday (it does in 2024). You assume Christmas Eve will be chaos, but you don't account for the fact that your venue is in a quiet suburb where families head to the city. You overstaff by 20%, blow your labour budget, and watch your team stand around; or you understaff, turn away customers, and lose revenue.

Data-driven demand forecasting removes that guesswork. Venues using basic predictive models see a 12–18% improvement in labour scheduling accuracy within the first month.

The four data signals every restaurant should track

1. Historical sales by day and season

Pull your last 18–24 months of sales data (most POS systems — Toast, Square, Lightspeed — let you export this in seconds). Segment by day of week and time of year. Ask yourself:

Which Fridays were busier: ones in school holidays or term time?
Do your Sundays spike in summer or winter?
Does your venue get quieter in January when Australians are on holiday?

Create a simple spreadsheet with average covers (or revenue) for each day type. This becomes your baseline forecast. If your historical average for a Saturday in October is 85 covers, and you're predicting next Saturday, that 85 is your starting point — not a guess.

Pro tip: If you've only been open 6–12 months, borrow anonymised data from a mate in a similar venue type and location. The Australian Restaurants Association publishes seasonal trends by state that you can cross-reference.

2. Local events and public holidays

Australia's hospitality calendar is packed with demand drivers that generic forecasting tools miss. Your venue's demand swings wildly around:

Public holidays and penalty rates: ANZAC Day (25 April), Queen's Birthday (varies by state), Christmas and Boxing Day (25–26 Dec). Venues in CBD areas see a dip; suburban family restaurants see a spike.
Major sporting events: Melbourne Cup (first Tuesday in November), AFL Grand Final (last Saturday in September), NRL Grand Final (October). Sydney pubs and bars do 3–4× normal Saturday revenue; regional venues see nothing.
School holidays: Four two-week blocks per year. Family-friendly venues (cafes, casual dining) see 40–60% higher covers; fine dining sees a dip.
Local festivals and markets: Check your council's events calendar. A farmers market launch, street festival, or concert series 500 metres from your venue can shift demand by 30%.
Weather: A 30°C+ forecast on a Saturday can drive 20% more covers to outdoor-seating venues; rain kills it for others.

Build a simple calendar in your phone or spreadsheet. Flag these dates 6–8 weeks out, then adjust your forecast up or down based on historical patterns.

Counter-intuitive tactic: Check your suppliers' delivery schedules. When Bidvest, PFD, or Countrywide announce supply shortages (e.g., beef shortage in Q1 2024), your competitors often run promotions or change menus. This can shift demand to your venue if you're prepared. Suppliers often email their key contacts — ask to be on the list.

3. Booking and enquiry data

If you take reservations (OpenTable, Resy, or your own system), your booking curve is a goldmine. Track:

How many bookings you have 7 days out, 3 days out, 1 day out.
Booking pace (are bookings coming in faster this week than last week for the same date?).
Enquiry volume (calls, emails, DMs asking "Are you open?").

If you have 35 bookings by Wednesday for an upcoming Saturday, and your historical average is 28 by that point, you're tracking 25% above baseline. That's a signal to increase prep and staffing.

Note: Walk-in venues without reservations should track foot traffic and enquiry volume instead. A spike in "Are you open?" messages or a busier Thursday evening suggests a busy Saturday is coming.

4. Competitor and industry signals

Yes, really. Follow 3–5 competitor venues on Instagram and Google. If they're posting "fully booked Sat" or "book now" on Wednesday, demand is heating up across your precinct. Check review sites (Google, TripAdvisor) for recent bookings — a spike in recent check-ins suggests they're busy, which usually means your venue is too.

Join Australian hospitality Slack groups or Facebook communities (Hospitality Guild, local chamber groups). Owners share real-time intel. "Everyone's rammed this weekend" is a data point.

Building your forecast: a simple three-step process

Step 1: Set your baseline (historical average)

For the Saturday you're forecasting, find all the Saturdays from the same month in the past 2 years. Average the covers (or revenue). That's your baseline.

Example: You're forecasting Saturday, 8 November 2025. You pull data for Saturdays in November 2023 and 2024. Average covers: 72. That's your baseline forecast.

Step 2: Adjust for events and external factors

Check your calendar. Is there a local event? A school holiday? A major sporting event relevant to your venue? A weather spike? Adjust your baseline up or down by a percentage based on historical impact.

Melbourne Cup weekend in a CBD bar? Add 35–50%.
School holidays in a family cafe? Add 20–30%.
Rainy forecast in a venue with outdoor seating? Subtract 15–25%.

Your adjusted forecast for that Saturday: 72 + (72 × 40%) = 101 covers.

Step 3: Monitor and refine

By Wednesday or Thursday, you have booking data and enquiry volume. If bookings are tracking 20% above baseline, bump your forecast up. If they're flat, stick with your adjusted forecast or dial it back slightly. Update your roster and supplier orders accordingly.

Practical actions: what to do with your forecast

Staffing: If you're forecasting 100 covers on Saturday and your historical average is 70, you need 15–20% more kitchen and floor staff. Lock that in by Wednesday.

Supplier ordering: A higher forecast means bigger orders from Bidvest, PFD, Countrywide, or your local suppliers. Order by Thursday to avoid Friday rush and potential shortages. Calso's supplier ordering feature lets you adjust orders based on demand forecasts without leaving your POS.

Menu prep: If you're expecting 40% above baseline, prep more of your high-volume dishes. Roast chickens, pasta sauces, and desserts should be prepped in bulk.

Messaging: A forecast showing a quiet weekend? Run a promotion on Instagram or email. A forecast showing a boom? Update your booking system and stop taking reservations once you hit capacity.

Where Calso fits in

Tracking these signals manually — pulling POS data, checking calendars, adjusting forecasts, then communicating changes to suppliers and staff — takes 2–3 hours per week. Calso automates the heavy lifting. It ingests your sales history, flags local events and public holidays automatically, integrates with your booking system, and generates demand forecasts that feed directly into supplier ordering and labour planning. You get the forecast; you make the call.

Want early access?

Forecasting is just one piece of the puzzle. Venues on the Calso waitlist get founding-venue access to the full platform — demand planning, supplier ordering, invoice checking, and more — before your competitors do. Limited spots in each city. Join at calso.com.au/join.