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 accurate is demand forecasting for Australian restaurants?

Using historical sales data, local events, and weather patterns, Australian hospitality venues can predict weekend demand with 70–85% accuracy. This helps you roster smarter, order correct stock levels, and reduce labour costs by 8–12% while improving customer satisfaction.

What data should I track to predict busy weekends at my restaurant?

Pull 12–18 months of POS data showing sales by day, time slot, and season. Track day-of-week trends, seasonal swings, public holidays, and local events. Melbourne restaurants, for example, see 30–40% traffic lifts on Melbourne Cup Day. This reveals patterns to forecast demand accurately.

Why does weekend forecasting matter for Australian hospitality venues?

Weekends generate 40–50% of weekly revenue. Incorrect staffing costs you penalty rates (50–100% above ordinary rates on Saturdays/Sundays) or lost covers. Accurate forecasting reduces labour costs, cuts food waste by 10–15%, and prevents understaffing that damages customer experience.

How can I reduce food waste using demand prediction?

By forecasting weekend demand accurately, you order the right stock quantities from suppliers like Bidvest or PFD. This cuts food waste by 10–15% and prevents over-ordering during quiet periods. Bakeries in Melbourne, for instance, lose $200–400 weekly by missing Sunday morning rush predictions.

What impact do public holidays have on restaurant demand in Australia?

Public holidays like ANZAC Day, Melbourne Cup, and Christmas shift demand predictably. Melbourne venues see 30–40% traffic increases on Cup Day due to the public holiday and cultural event. Track these in your forecasting model to optimise rostering and stock orders.

How much can I save by improving restaurant demand forecasting?

Venues forecasting demand accurately reduce labour costs by 8–12% and food waste by 10–15%. You'll avoid unnecessary penalty rate payments on quiet weekends and prevent lost covers from understaffing. Better rostering directly improves your bottom line and customer satisfaction.

Predict Busy Restaurant Weekends: A Data Approach

You've felt it before: Saturday night arrives, your kitchen is slammed, and you're two staff short. Or worse — Tuesday rolls around and half your tables sit empty. Predicting busy periods isn't guesswork anymore. Australian hospitality venues using historical sales data, local event calendars, and weather patterns can forecast weekend demand with 70–85% accuracy, giving you time to roster smarter, order the right stock from Bidvest or PFD, and actually enjoy your weekend.

Why weekend demand forecasting matters for your venue

Weekend revenue typically accounts for 40–50% of a restaurant's weekly turnover. Get the staffing wrong and you're either bleeding money on penalty rates (Saturday and Sunday loadings in most Australian states sit at 50–100% above ordinary rates) or losing covers to slow service. A bakery in Melbourne that can't predict the Sunday morning rush loses $200–400 in lost sales. A bar in Brisbane that over-rosters for a quiet Friday burns through wage budget.

The maths is simple: venues that forecast demand accurately reduce labour costs by 8–12%, cut food waste by 10–15%, and improve customer satisfaction scores because they're not caught flat-footed.

What data should you be tracking right now?

Historical sales by day, time and season

Start with what you already have: your POS data. Pull the last 12–18 months of sales by day of the week, time slot (lunch, dinner, late), and season. You're looking for patterns:

Day-of-week trends: Does your venue see 60% higher covers on Friday than Wednesday?
Seasonal swings: Are July and August (school holidays, cooler weather) slower than December or January?
Public holidays and penalty rates: ANZAC Day, Melbourne Cup, Christmas — these shift demand in predictable ways. A hospitality venue in Melbourne might see a 30–40% lift in foot traffic on Cup Day (first Tuesday in November) because of the public holiday and cultural event.

If you're not already exporting your POS data to a spreadsheet each month, start now. Most systems (Toast, Square, Lightspeed) let you pull CSV exports.

Local events and school holidays

Your venue doesn't exist in a vacuum. A restaurant near the MCG will see a spike on game days. A cafe in Surry Hills will be busier during school holidays (4 weeks in summer, 2 weeks in autumn, winter, spring). A pub in Perth will fill up during the AFL finals.

Counter-intuitive tactic: Check your council's events calendar and local business association newsletters. Many Australian councils publish event calendars 3–6 months ahead. A food festival, markets, or street closure near your venue can lift walk-in traffic by 25–40%. Most owners ignore this — it's gold.

Set a calendar reminder to check your local council website quarterly. Cross-reference with your POS data from the same period last year. You'll spot the pattern.

Weather and temperature

Weather is a demand lever most hospitality owners underuse. A 35°C day in Sydney drives ice-cream sales, cold beverage orders, and outdoor seating demand. A rainy Melbourne weekend pushes people indoors, favouring bars and cafes over outdoor venues.

Grab historical weather data from the Bureau of Meteorology (bom.gov.au) for your city. Overlay it against your sales data:

Do you sell 30% more cold drinks on days above 28°C?
Do rainy Saturdays drive higher dine-in covers?
Does wind affect your outdoor seating revenue?

Once you know your venue's weather sensitivity, you can adjust rosters and orders 5–7 days out, when forecasts become reliable.

Building a simple forecasting system

Step 1: Establish your baseline

Pull 12 months of POS data and calculate average covers (or revenue) for each day of the week. A typical pattern might look like:

Monday: 45 covers
Tuesday: 48 covers
Wednesday: 52 covers
Thursday: 58 covers
Friday: 95 covers (70% lift)
Saturday: 110 covers (80% lift)
Sunday: 75 covers (30% lift)

This is your anchor. Everything else adjusts from here.

Step 2: Layer on seasonal and event factors

Create a simple multiplier table:

School holidays: ×1.25 (25% lift)
Public holidays (ANZAC, Melbourne Cup, Christmas): ×1.30 to ×1.50
Local events (markets, festivals, sports): ×1.15 to ×1.40
Weather (hot days, rain): ±10–15%

Example: It's a Saturday in December (summer school holidays) with a 32°C forecast. Your baseline Saturday is 110 covers. Multiply: 110 × 1.25 (school holidays) × 1.12 (hot weather) = 154 covers. You'd roster for 154, not 110.

Step 3: Test and refine

Run your forecasts for 4–8 weeks without changing anything. Write down your prediction and actual covers at the end of each service. Calculate your error rate (actual vs. predicted). Most venues achieve 70–80% accuracy within 8 weeks.

Where you're consistently off, dig in. Did a competitor open nearby? Did a regular event not happen? Did staffing changes affect service speed? Adjust your model.

Practical demand forecasting tactics for Australian venues

1. Sync with your supplier order cycle

Bidvest, PFD, and Countrywide typically operate on 3–5 day lead times for fresh stock. If you forecast a 40% lift for a particular weekend, you need to lodge orders by Wednesday. Forecasting gives you a buffer to adjust orders without paying rush fees or accepting short-dated stock.

2. Stagger your casual roster

Instead of rostering all your casuals for the same shifts, stagger them. If you forecast a busy Saturday, bring in your strongest staff for the 6–8 PM window (peak), and lighter staff for 5–6 PM and 8–9 PM. You'll cut wages by 8–10% while maintaining service quality.

3. Pre-prep and mise-en-place planning

If you forecast a 50-cover jump on Friday, you know you need extra prep on Thursday. Communicate this to your kitchen. Prep sauces, stocks, and components a day early. This reduces Friday stress and cuts waste from rushed cooking.

4. Adjust your menu mix

If you forecast a busy weekend, you might push lower-margin or labour-intensive dishes off the specials board. Focus on high-margin, fast-turn items. A cafe that forecasts a 30% lift on Sunday might lean into pastries and coffee rather than long-cook brunch items.

5. Use forecasts to negotiate with suppliers

If you can tell PFD or Countrywide "I'm forecasting a 35% lift next weekend, can you reserve stock?" you'll often get priority access and better pricing on fresh produce. Suppliers love predictable customers.

Common forecasting mistakes to avoid

Ignoring one-off events: A mate's birthday party or a private function isn't "normal" demand. Track it separately so it doesn't skew your baseline.

Not accounting for staffing changes: If your head chef leaves or you hire a faster kitchen team, your capacity changes. Adjust your forecasts accordingly.

Forgetting to update seasonally: A forecast built on winter data won't work in summer. Refresh your baselines quarterly.

Overlooking competitor moves: A new venue opening nearby or a competitor closing will shift your demand. Monitor your local hospitality scene.

Where Calso fits in

Building a forecast spreadsheet is doable, but maintaining it — updating POS data weekly, cross-referencing events, adjusting for weather, and communicating rosters — is time-intensive. Calso's demand prediction tool ingests your POS data, local event calendars, and weather forecasts automatically, then surfaces a weekly demand forecast on your phone. No spreadsheets. No guesswork. You get a clear prediction of covers for each service, which feeds into smarter rostering and supplier ordering.

Want early access?

Calso is invite-only right now, and we're building forecasting features alongside founding venues. If you want to lock in early access and shape how demand prediction works for Australian hospitality, join the waitlist at calso.com.au/join. Limited spots in each city — your competitor might already be on it.

Predict Busy Restaurant Weekends: A Data