Smarter Restaurant Forecasting for Revenue Growth

Running a restaurant group today is a balancing act between flavour, experience, and razor-thin margins.

But one of the most powerful levers for growth isn’t on the menu – it’s in your data.

Forecasting holds the key to maximising bookings, yet it’s often a time-consuming, manual process that struggles to reflect dynamic market conditions.

What if you could achieve a 10-20% uplift in monthly covers while saving your HQ team around 30% of their time?

That’s not theory – that’s tangible money flowing back into your business every single month; building resilience, month on month, not to mention the savings from smarter purchasing and labor scheduling.

So, let’s talk about why restaurant sales forecasts need to be smarter, and how Distil helps restaurant groups get there.

• Why Manual Restaurant Forecasting Falls Short
• AI-led Forecasting vs Human Intuition
• How Distil Diagnostics Does Restaurant Forecasting
• Every Restaurant Gets Its Own Forecasting Algorithm
• What Accuracy means for Restaurant Forecasting
• The Role of Past Revenue Data in Forecasting
• Why Market Benchmarking beats Competitor Comparison
• Why Cover and Revenue Forecasting in Distil is Different
• The Bottom Line: Forecasting that pays for itself and then some

Why Manual Restaurant Forecasting Falls Short

Too often, restaurant sales forecasts are still pieced together manually in spreadsheets with a basic formula referencing last year’s covers or an average of recent weeks.

The problem? It’s slow, imprecise, and leaves you reacting instead of planning. Relying on yesterday’s numbers makes it harder to spot tomorrow’s opportunities.

From seasonality and public holidays to changes in demand, the weather and one-off events, there are countless moving parts. And of course, no two sites behave the same – local factors like venue location mean each restaurant has its own rhythm.

That’s why manual sales forecasting can only take you so far. And we get it – that’s what you’ve had to do to get by, but there are two big issues that can’t be avoided when forecasting this way:

1. You’re pouring hours into manual calculations that are outdated the moment they’re done – time that would be far better spent using your expertise to tackle bigger business challenges.
2. Key drivers of performance are left out of the picture, so the forecast is never as accurate or reliable as it could be.

Manual forecasting simply can’t keep pace with that level of change. It’s like driving with yesterday’s map when today’s journey takes a different route.

AI-Led Forecasting versus Human Intuition

Forecasts aren’t meant to replace human judgement – they’re meant to enhance it.

If the forecast says you’re heading for a quiet Thursday, your instinct kicks in: is that because of a local event, the weather, or a competitor’s offer? Forecasting doesn’t eliminate the question – it sparks it.

Like setting off on a journey with an ETA from your sat nav; the system can’t predict a sudden road closure, but it will warn you about planned diversions and reroute you. Some of the smarter algorithms may even warn you about typical delays caused by the usual traffic build-ups at peak times – but it can’t know for certain.

You’re still the driver, just with better tools and information at your fingertips.

How Distil Diagnostics does Restaurant Forecasting

We’ve designed Distil Diagnostics to be the best Restaurant Forecasting model on the market. That means we’ve not only created automated forecasts that get the numbers you need in your hands in moments, our forecasts also incorporate the broadest data set in the entire hospitality industry that we know of.

A useful, valuable forecast has to run constantly, feeding on the very best data. At Distil, we designed our machine learning models to consume and utilise a vast range of signals. We go beyond forecasting based solely on recent historical covers data and take a wider view of factors that impact results:

• Historical data from each site in the group
• Trends across your group portfolio, not just one location.
• Market-wide benchmarking from OpenTable’s 60,000-strong restaurant network.
• Live demand signals from people searching for availability in the future, right now.

“We can do forecasting at a better scale and accuracy than you can do yourself because we have the data to power it.” – Gerry McNicol, Founder and CEO of distil.ai/

Every Restaurant Gets Its Own Forecasting Algorithm

Few industries prove the ‘no one size fits all’ rules more than hospitality. That’s why every single restaurant in your group has its own tuned forecasting algorithm in Distil Diagnostics. It’s learning and adapting every day based on the incoming signals.

Here’s how it works – the algorithm trains on up to a year of historical data and then continues to self-learn over time so you’re never behind the curve again.

Whether your sites are long established, embedded in your local community or relatively new to the scene, we can help you understand covers and revenue performance for the upcoming 5 weeks and cumulatively for the entire year. As long as you have at least 4 months’ of completed covers data for the days you’re open and the site is still serving, you’re good to go.

If you’re opening a completely new site – we can still create a forecast for you, but you’d need to talk to us about it.

What Accuracy means for Restaurant Forecasting

Accuracy in the context of forecasting might seem counterintuitive – because who can honestly tell the future with 100% accuracy all the time? No one.

But that doesn’t mean we can’t predict outcomes with a high degree of accuracy. And that’s exactly what Distil Forecasting does – it takes in a wide range of data to deliver highly accurate forecasts.

Consider the last time you used a navigation app to direct to your destination – it probably provided an estimated time of arrival or ETA when you set off. The crucial word – estimated. The app took everything it knew about planned roadworks, existing traffic issues, diversions en-route and gave you an estimated time of arrival.

It took the best data it had to give you the best possible estimation of how long that journey would take. What it couldn’t know is that you planned to stop for a quick coffee and you’d probably choose the coast road you know because it’s prettier. Your ETA will recalculate as you get closer to your destination, but it will be different from the time given when you set out.

That’s exactly the same as forecasting restaurant covers.

At Distil, our partnership with OpenTable means we have access to the reservation trends of over 60,000 restaurants worldwide, which means everything from demand signals to booking patterns go into our forecast model along with your own historical covers data – so when you’re looking for an ‘accurate’ restaurant forecast platform – Distil offers one of the best restaurant sales forecast tools available today.

It means you can make better decisions for the best of the business bottom line. You can make more informed stock purchasing decisions, manage labour planning to optimise costs and with advance warning of sites and services that need help – plan your marketing budget accordingly.

• Stock saving: avoid ordering ingredients that will end up wasted.
• Labour saving: stop overspending on overstaffing.
• Marketing optimisation: know exactly when to push campaigns for maximum ROI.

The Role of Past Revenue Data in Forecasting

We’ve designed Distil Diagnostics to be the best Restaurant Forecasting model on the market, regardless of the booking platform, tech stack or the shape of your data.

If your restaurants are listed on OpenTable, Distil Diagnostics can forecast expected covers and revenue performance 5 weeks ahead of time within just a few hours of getting set up. And that’s independent of any historical revenue data you may or may not have associated with each OpenTable Restaurant ID (RID).

If you’re using SevenRooms, TripleSeat, MakeaRezzy or other platforms, we can setup Distil’s advanced forecasting algorithms to work with whatever data you have available – whether that’s based on Average Spend per Head (ASPH ) or actual historical revenue data taken from a POS system.

During onboarding, you set your Expectations – your own custom targets for performance – and there you can control the figures for average spend per head and expected covers per service. So even without historical revenue data, Distil can still deliver a more powerful forecast than any alternatives.

Why Market Benchmarking beats Competitor Comparison

The eagle-eye among you might notice that nothing about forecasting and benchmarking in Distil concerns competitors. And that’s not an accident – it concerns an important difference between competitor comparison and market benchmarking.

Competitor comparison is a narrow lens – it only allows a small circle of visibility to rate how well your venues are doing.

Instead, we look wider and further to benchmark your business against the entire market for your price, location and food groups.

It’s the big picture, not just a cropped snapshot.

Why Cover and Revenue Forecasting in Distil is Different

Other tools rely on a narrow view of historical covers data only. However, we know that forecasting done in this way can only give a narrow, less accurate view of future potential because it misses the other signals shaping demand.

Distil is different because:

• We are partners with OpenTable and have access to exclusive data sets, meaning we see a vast stream of market signals.
• We benchmark against the entire market, not a small number of competitors.
• We integrate forecasts with actions: with the right insights at your fingertips, you can make the key business decisions that create the growth you want to see.

In other words, forecasting isn’t just a report – it’s part of your business growth engine.

The Bottom Line: Restaurant Forecasting that more than pays for itself

Why forecasting in Distil? Simple. It’s about money in your pocket – positive impact on the revenue and profitability by turning the data you already have into growth.

A more accurate forecast translates directly into lower costs and higher returns. Not only will you save around 30% of head office staff time by reducing their manual data workload – we’ve seen restaurant groups get around 10-15% revenue uplift while reducing spoilage and optimising staffing.

It’s not just saving money – it’s building resilience, month after month.

Goodbye gut instinct, hello data-driven decisions.

Forecasting doesn’t have to be guesswork, gut feel, or a spreadsheet exercise. With Distil, you get always-on, market-wide intelligence that helps your restaurant group plan with confidence.

From stock and staffing to marketing spend, small improvements in forecasting accuracy turn into big gains across the business.