New in the Journal · Restaurant Growth
A practical framework for sellable capacity, paid versus complimentary covers, secured reservations, local demand and the first 60 days.
Insights
Practical writing on hotels, restaurants, short-stay portfolios, hospitality software, people operations, direct booking, revenue, distribution, marketing and AI discovery. The point is to make a decision easier, not to manufacture another trend article.
How this is researched, sourced and corrected is set out in the Editorial Standard. Free tools live in practical tools.
Start with the question the team is actually arguing about.
Where a cluster has real depth, the hub defines the category, states the questions it answers and gives a reading order.
Restaurant commercial growth is the work of connecting demand, conversion, margin and repeat visits into one system, rather than managing them as separate activities. It covers how guests discover the restaurant, what the menu does before they arrive, which dayparts and items actually carry contribution, how enquiries and reservations are handled, and whether a guest returns without being repurchased.
Hotel direct booking and distribution is the commercial system that decides which channel a guest books through and what that booking costs. It covers rate and parity discipline, channel mix and commission load, the path between an advertisement and a confirmation page, the booking engine's role in it, and the reporting that should make those decisions arguable.
Katalyst Journal
Hospitality Software
Connected is not the same as authoritative.
Integration answers whether systems can exchange data. Source of truth answers which system is allowed to be believed when the data disagrees. Hotels need both decisions, and they are not the same decision.
Katalyst Journal
Commercial Systems
The meeting should start after the reporting work is done.
If six people arrive with six exports and spend the first twenty minutes agreeing on what happened, the meeting did not start late. The briefing system failed before everyone entered the room.
Katalyst Journal
Hotel People Operations
Offer accepted is not first-shift ready.
An accepted offer proves that a candidate said yes. It does not prove that the position is funded, the person will arrive, the documents are clear, accommodation exists, access is ready or the first shift can happen safely.
By the time a guest walks in, the menu has already done its most important job — or failed it. The menu online is a sales document read by people and machines deciding whether to come at all.
Thirty empty squares and a meeting about how to fill them is not a strategy. It is a furniture problem. The brief that comes first takes about an hour and changes every decision after it.
Most short-stay portfolios are run as a set of separately managed units that happen to share an owner. The commercial difference shows up in channel cost, gap nights and the owner conversation.
The stack grew and the decisions did not. Before comparing platforms, name the decision each layer is meant to improve and the person accountable for making it.
The hotel that is not in that paragraph was not rejected. It was never considered. There is no page two.
Most hotels do not have a traffic problem. They create demand, pay to attract visitors, and then lose the booking somewhere between the click and the confirmation page.
A hotel below 20% direct usually does not have a demand problem first. It has a commercial system problem.
Katalyst Journal
Restaurant Commercial Operations
The useful decision is the one you can still act on.
Yesterday's dashboard can explain why Tuesday was weak. The more valuable question is what the team should change before the first guest sits down tonight.
Katalyst Journal
Travel Distribution
The search result is where the easy part ends.
Searching three suppliers and drawing one hotel card is a demo. A distribution product starts when the agency books, the hotel must honour the state, the money has an owner and a cancellation can survive the weekend.
The issue is not effort. The issue is misalignment. Revenue sets the rate, marketing runs the campaign, and too often nobody connects the two.
Most hotel tech stacks are not weak because they have too little software. They are weak because nobody is governing the stack with commercial discipline.
Too many hotels buy overlapping systems because nobody defined what each platform should own. That is how stacks become expensive without becoming more effective.
The honest answer to consultant scepticism is to show the deliverable: what gets inspected, what evidence is used, and what the output refuses to pretend to know.
If you have been quoted for AI schema implementation, that quotation is for markup. It may be perfectly good markup. It is not the mechanism it is being sold as.
The worst realistic result is not that AI has never heard of your hotel. It is that AI recommends it warmly, and every source behind the answer belongs to a channel that charges you.
Most restaurants can tell you their reach. Very few can tell you where a guest who saw the reel and never arrived actually leaked out.
A full room of first-timers can be a business quietly paying full acquisition cost for every cover. The question that decides the economics is who comes back.
A delivery line that grows every month can still be the weakest business in the building. The number that decides is contribution, and most operators have never calculated it per channel.
A single private dining booking can be worth a week of ordinary covers. In most restaurants it is handled with less process than a table for two.
Somewhere right now, a machine is answering a question about your restaurant using whichever version of the facts it happened to read.
The first restaurant worked because the founder was in it. The second one tests whether the business works when they are not.
Remove the technology and describe what remains. If nothing remains, there was no concept — there was an effect, and effects depreciate.
Treat the restaurant as an amenity and it will perform like one. The outlet needs its own market and commercial model. The hotel is the advantage, not the excuse.
A full dining room answers one question: can you attract people? Contribution answers the one that pays rent: is the capacity earning what it should?
One total-revenue dashboard is not a strategy. Strategy starts when every centre sharing the asset is evaluated as a business in its own right.
The booking engine gets blamed because it is the last visible step. In many hotels, the commercial damage starts well before it opens.
Parity does not only affect price perception. When it slips, it changes whether a guest believes the direct channel is worth trusting at all.
Healthy RevPAR does not mean healthy commercial performance. It can also be masking a business that is getting more expensive to run.
Many hotel redesigns improve presentation, brand polish, and internal satisfaction while quietly weakening the path to a completed booking.
The first move on OTA dependency is not cutting exposure. It is understanding which bookings were genuinely incremental and which were just expensive habit.
The problem is not that revenue is wrong or marketing is wrong. It is that too many hotels run both functions against different commercial priorities and measure them separately.
Most hotels treat commission as a fixed cost of doing business. It is not. It reflects channel mix, direct value, parity control, and branded demand leakage.
A guest searching your hotel by name has already done the hardest part. If that booking still lands through an OTA, the comparison environment beat the direct path.
Katalyst insights are based on operator-side experience, original commercial analysis and clearly labelled illustrative calculations. External facts are sourced where used. Representative scenarios are not presented as disclosed client results.