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The most dangerous moment in any project isn't opening day. It's the moment before it: you pick a location, review the numbers by instinct, then sign. After that, everything becomes a sunk, irreversible cost — rent, fit-out, capital.
We answer you before that moment, with live market data, not a guess.
Who your competitors actually are, where they sit on the map, and which are strongest and weakest.
Is the market saturated? Not by competitor count alone, but as a ratio to the population of the area.
Where the gap is that no one serves well enough.
What comparable properties are actually listed for right now, not what people "say" it costs.
Whether this activity is officially licensed in your area, and how many new licenses were issued recently.
What your competitors' customers complain about, so you build your edge on what the market actually lacks.
What the worst and best-case scenario looks like for your capital before you commit to it.
This isn't "nice to know" information. This is information that should have been in your hands before you signed.
The most cited reference for industrial feasibility study structure is a guide published by UNIDO in 1978. Many firms still copy its sections verbatim. Weight isn't always a sign of quality — it can be an inherited habit.
One of the most influential management books, The Lean Startup, attacked the "detailed plan, then capital, then build" pattern because it rests on assumptions never validated before commitment.
Multiple sources describe traditional plans as "long and rigid, outdated the moment circumstances change." That's why the Business Model Canvas emerged, condensing the model into one editable page.
World Bank research on megaprojects found that costs are underestimated and benefits overestimated in the vast majority of cases, and that the party with a stake in approval tends toward optimism. The point isn't any one project — it's that numbers that feel comfortable aren't necessarily correct numbers.
AI use in market analysis is accelerating, and many warn it can produce confident conclusions with no basis in the data — a fatal risk in a financial decision.
| Traditional Study | Our Study |
|---|---|
| Written for | |
| The financier | You |
| Length | |
| Hundreds of pages | Enough to decide |
| Data | |
| Desk research, possibly outdated | Live from the actual market |
| The question it answers | |
| Does the project qualify for financing? | Do I enter? Where? At what price? |
| When circumstances change | |
| The document is finished | Re-run with new numbers |
| Candor | |
| Leans optimistic | Says "no" when needed |
Competitors, and sector saturation relative to population.
The gaps, competitor weaknesses, and the level of new licensing.
Real, currently listed rental offers for your area, with sample size.
What your competitors' customers complain about.
Pessimistic, base, and optimistic scenarios, built with you using your project's own numbers — because the project owner knows the real revenue.
Decides whether you enter or not.
Built by our team with you, using your numbers.
Handled by our team through Sanad. We prepare the file, follow it up, and hand you the requirements — approval is the competent authority's decision.
Analyzing and tracking your business with the same data.
For specialized engineering work, we refer you to a qualified partner.
Your idea and information are never shared or published.
Every number in your study traces back to a source, so you can ask "from where?" and get an answer.
Our team reviews every study by hand before delivery.
The study is a decision-support tool, and does not constitute a guarantee of future financial or commercial results.
The information exists right now, waiting for you — before it becomes expensive.