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 can restaurant demand forecasting really be?

With a three-layer data approach combining historical covers, local events, and weather patterns, Australian restaurants can achieve 70–80% accuracy in predicting busy weekends. This accuracy improves when you track 12 months of POS data and cross-reference external signals like public holidays and local events.

Why do Australian restaurants lose money on mispredicted weekends?

Weekends generate 35–45% of weekly revenue, but penalty rates on Saturdays and Sundays are 50–100% higher than weekdays. Overstocking ties up cash and wastes fresh stock; understocking loses covers and forces expensive penalty-rate supplier calls. Accurate forecasting directly protects your bottom line.

What data should I track from my POS system for weekend forecasting?

Track same-day-of-week covers for 12 months, seasonal patterns (summer vs. winter), special events you've hosted, and weather correlation. Pull this data into a spreadsheet to spot trends—like quieter market days or winter Sunday slumps—that inform your ordering and staffing.

How do public holidays affect restaurant demand in Australia?

Australian public holidays like ANZAC Day, Melbourne Cup Day, and Christmas create unpredictable demand spikes. Combined with 50–100% higher penalty rates on these days, accurate holiday forecasting is crucial. Layer historical data with event calendars to predict covers and avoid costly understocking.

Can weather really predict how busy my restaurant will be?

Yes. Weather patterns significantly influence footfall—rainy Saturdays versus sunny ones often show measurable differences in covers. Track weather correlation in your historical data to identify how conditions affect your specific venue's demand, then factor forecasts into your weekend predictions.

How do I use Bidvest or PFD data to improve my weekend ordering?

Cross-reference your delivery notes from suppliers like Bidvest or PFD with your POS covers data. This reveals which weeks you over- or under-ordered, helping you calibrate future orders. Combining supplier data with covers forecasting reduces waste and ensures you're stocked for predicted busy weekends.

Predict Busy Weekends: Data Tactics for Restaurants

Weekend demand forecasting isn't a crystal ball—it's pattern recognition. By layering historical covers, local events, weather, and supplier data, Australian restaurant owners can predict busy weekends with 70–80% accuracy and order smarter. Here's how.

Why weekend forecasting matters for your venue

Weekends drive 35–45% of most hospitality venues' weekly revenue. A single misprediction costs you: overstock ties up cash and spoils fresh stock; understock means lost covers, frustrated guests, and rushed supplier calls at penalty rates.

Australian venues also face unique pressure: penalty rates on Saturdays and Sundays are 50–100% higher than weekdays, so every cover counts. Public holidays—ANZAC Day, Melbourne Cup Day, Christmas—spike demand unpredictably. Getting demand right is a competitive edge.

The three-layer data approach

Layer 1: Your historical covers data

Start with what you already know: your own covers by day, time, and season.

What to track:

Same-day-of-week covers (all Saturdays for 12 months, all Sundays, etc.)
Seasonal patterns (summer vs. winter; school holidays; Easter to June lull)
Special events you've hosted (live music, chef's table, private functions)
Weather correlation (rainy Saturdays vs. sunny ones—does it move the needle?)

Quick win: Pull your last 12 months of covers from your POS. Plot them by day of week in a simple spreadsheet. You'll spot trends immediately: maybe your second Saturday of each month is always 15% quieter (markets day elsewhere?), or Sundays in winter tank 20%.

If you're using Bidvest or PFD ordering data, cross-reference their delivery notes with your covers—you'll see which weeks you over- or under-ordered.

Layer 2: External signals (events, weather, public holidays)

Your covers don't exist in a vacuum. Local events, weather, and public holidays drive footfall.

Public holidays & penalty rates:

ANZAC Day (25 April): expect 25–40% lift if you're open; penalty rates are 150% + loadings
Melbourne Cup Day (first Tuesday in November): huge in VIC; plan stock 3 weeks out
Christmas period (Dec 15–Jan 5): chaotic; book staff and suppliers early, expect 50%+ volatility
School holidays (4 weeks/year): families dine out; plan inventory for lunch and early dinner

Local events to monitor:

Markets, festivals, sports events (AFL Grand Final, State of Origin, Big Bash)
University term dates (student suburbs quiet in exam weeks; busy in O-Week)
Weather forecasts (warm weekend = outdoor dining surge; rain = comfort food and indoor bookings)

Tactical move: Subscribe to your council's events calendar and your state's public holiday list. Set a reminder 4 weeks before major events to review your historical data for that same event last year.

Layer 3: Supplier intelligence

Your suppliers see demand across dozens of venues. They know trends you don't.

What to ask Countrywide, Bidvest, or PFD:

"What's your forecast for my area this weekend?" (they track regional demand)
"Which lines are selling hard across your customers right now?" (signals category trends)
"What's your delivery lead time for peak items?" (plan ahead for long-lead proteins, produce)

Many venues overlook this: suppliers have real-time visibility into whether beef, seafood, or produce is moving fast. A quick call to your Bidvest rep can save you from being caught short on a busy Saturday.

The counter-intuitive tactic: reverse-engineer from your staff rostering

Here's what most owners miss: your staff roster is a leading indicator of demand.

If you've rostered 8 front-of-house staff on a Saturday and only 2 on a Wednesday, you're implicitly forecasting higher demand. But are you ordering to match?

Try this:

List every Saturday and Sunday you've rostered above your average weekday staff count
Cross-reference those dates with your POS covers
Calculate the correlation: does more staff = more covers? (Spoiler: it usually does, but not always—some Saturdays you over-staffed and were quiet)
Use that ratio to forecast future weekends

If you know you're rostering 25% more staff next Saturday, and historically that correlates with 18% more covers, you can order accordingly before the rush hits.

Practical forecasting formula (no fancy software needed)

You don't need AI to start. Use this simple model:

Expected covers = (Last year same weekend covers × seasonal trend) + (Local event factor) + (Weather adjustment)

Example: Last year, your Saturday 2 weeks before Christmas did 120 covers. Christmas is a 40% uplift period. Weather forecast is 28°C sunny (outdoor dining boost, +10%). No major local events.

Forecast = (120 × 1.40) + 10% = 185 covers (rough estimate).

Now order for 185 covers, with a 10% buffer for volatility.

From forecast to ordering

Once you've predicted covers, translate that to stock:

Estimate food cost % (typically 28–32% for full-service venues)
- 185 covers × average spend ($45) × 30% food cost = $2,498 raw ingredients needed
Map to your top 20 lines (proteins, veg, dairy, dry goods)
- If beef is 20% of food cost, allocate $500; chicken 15%, allocate $375, etc.
Cross-check shelf life
- Order fresh proteins for Saturday; order dry goods and frozen mid-week
- Work backwards from delivery windows: if Countrywide delivers Tuesday/Friday, order by Monday for Friday delivery
Build a 10% buffer for volatility
- Weather changes, events get cancelled, a local influencer mentions you—demand shifts fast

Pitfalls to avoid

Anchoring on last week: If last Saturday was quiet, don't assume this one will be. Check the calendar, the weather, and local events first.

Ignoring seasonality: July is colder and quieter; December is chaos. Your 12-month average masks these swings.

Forgetting penalty rates: On public holidays, you'll pay 50–100% more for last-minute supplier calls and staff. Order 2–3 weeks early.

Siloing data: Your POS data, supplier invoices, and staff roster live in separate places. Pull them together monthly to spot patterns.

Where Calso fits in

Demand forecasting relies on clean, connected data. Calso integrates your POS, supplier orders, and historical covers to surface demand patterns automatically. Instead of manually pulling spreadsheets, Calso flags busy weekends, suggests order quantities, and alerts you to anomalies (e.g., a Saturday that's historically quiet but has a local event this year). It saves 3–4 hours of admin per week and reduces forecast error.

Want early access?

Forefronting venues in your city are already using data to outsmart demand. Join the Calso waitlist at calso.com.au/join for founding-venue access and direct support from the team. Limited spots—get in before your competitor does.

Predict Busy Weekends: Data Tactics for Restaurants