Problems & solutions · Custom Software

Flight Dispatch and Planning Software Problems: The 7 That Burn Fuel and Time, and How to Avoid Them

Flight Dispatch Planning Software workflow illustration showing common problems and fixes.
The short answer

The most expensive mistake an operator makes here is agreeing to rebuild the flight plan computation engine. Route computation against global weather with real aerodynamic performance, airspace structure and overflight charge data represents decades of accumulated engineering, and the licence fee is trivial against reproducing it. Operators who take that on spend a year or more reproducing wind interpolation and arrive with something less trustworthy than what they replaced, while the actual money, which sits in fuel policy, tankering and the release workflow, goes untouched throughout.

Why does rebuilding the planning engine keep getting proposed?

Because it is the visible part. An operator describes frustration with their planning system, a developer looks at the output, sees a route, a burn figure and a set of alternates, and concludes that the system computes something they could compute. The proposal that follows quotes a platform rather than a layer, and it is usually cheaper on paper than the honest version, which makes it persuasive.

What is not visible in the output is the accumulated work behind it. Aerodynamic models per type and per configuration, global weather ingestion and interpolation, airspace structure that changes constantly, overflight charge data, and years of correction against real world outcomes. Jeppesen JetPlan, Lido Flight 4D, N-Flight Planning, ForeFlight Dispatch and Sabre Flight Plan Manager all carry that behind them.

The fix is a scoping question you ask on the first call. Ask a prospective developer what they would not build. If the computation engine is not the first thing out of their mouth, they have not understood the domain and you are funding their education at your own risk. The correct architecture licenses the engine and builds the layer around it: your fuel policy rules, your tankering economics, your defect penalties, your alternate preference logic and your dispatcher workflow. That is a $150,000 to $350,000 first release over 20 to 30 weeks in Digital Heroes delivery experience, against a rebuild that has no honest upper bound.

What goes wrong when you migrate fuel policy and station data?

Nobody has ever written the policy down completely, which is the finding rather than the obstacle. The operations manual holds the approved framework. Practice holds a great deal more: extra fuel for particular destinations known for holding, a standard uplift at stations where the refueller is unreliable, a captain's discretion allowance that is theoretically discretionary and practically standard on certain routes, and a known burn deviation on one airframe that experienced dispatchers quietly allow for.

Collecting that is an interview exercise across your dispatch office, and it will produce contradictions. Two senior dispatchers will describe the same route differently, and both will be describing something that has worked.

Treat the contradictions as the deliverable. Every rule gets written down with its trigger, its magnitude and its justification, and then your chief dispatcher and fuel director decide which version is policy. That decision, made deliberately rather than by whoever is on shift, is often worth more than the software. Station and aircraft data needs the same discipline: handling and customs hours, runway condition sources and company restrictions per airport are frequently held in a personal spreadsheet and should be migrated as governed records with owners. Then reconcile before you rely on anything, by recomputing a month of historical sectors and comparing planned fuel against what was actually uplifted.

Why do maintenance, fuel price and flight bag integrations break after launch?

Each has a different failure and only one of them is loud. The maintenance feed for the minimum equipment list and configuration deviation list breaks when the maintenance system is upgraded or when a defect is recorded against a component rather than an aircraft, so the penalty never reaches the plan. Fuel price feeds break when a supplier contract changes or when into plane fees move to a different schedule, and the effect is a tankering recommendation that is confidently wrong. Electronic flight bag and aircraft communications addressing and reporting system interfaces break in transit, where a message is sent and never acknowledged.

The consequence in every case is the same and it is unacceptable in this domain: a stale figure presented as current on a document that supports a legal release.

So the rule is that the system never shows a value without knowing how old it is, and it never silently substitutes a default. If the defect list is more than a defined age, the plan says so and the dispatcher acknowledges it. If a fuel price is stale, tankering advice is suppressed rather than computed on an old number. If a flight bag delivery is not acknowledged, the dispatcher sees an unacknowledged state rather than assuming receipt. Ask any prospective developer what happens when a feed fails mid shift. The answer must never be a stale figure on a release, and if they have to think about it, they have not built for aviation.

What happens when NOTAM filtering and release evidence are not covered?

You get a package nobody reads. Unfiltered notices to air missions are a known safety problem: hand a crew forty pages and they will not read all of them, and the item that matters is on page thirty one. If the build stops at the plan and leaves the package assembly manual, a dispatcher performs that filtering by judgement eleven times a shift, under time pressure, which is exactly the condition under which judgement degrades.

The release evidence gap is quieter. The release is a legal document, and under a United States Part 121 operation the dispatcher shares responsibility for it with the captain. If the system cannot show which version of the plan was released, what changed after release, who acknowledged the change and when, then the record of a routine day is fine and the record of a bad day is not.

Build both into the scope rather than the wish list. Filter notices by relevance to the actual route, altitude and time window, and record what was filtered out as well as what was shown, because the filtering logic is itself something you may have to justify. Assemble the package once and deliver it to the flight bag with acknowledgement recorded. Push updates after release rather than making a phone call. And pass planned figures to load control directly rather than having them retyped, since removing a transcription step from a safety critical chain is worth doing on its own merits.

Should you build custom or configure what you already own?

Buy outright and build nothing if you operate a small fleet on short sectors with straightforward alternates and no meaningful tankering opportunity. ForeFlight Dispatch or a standard JetPlan arrangement will serve you well, and a build at that scale is an expensive hobby with a regulatory surface attached.

Buy the engine always, regardless of your size. This is the one recommendation in the category that does not have exceptions.

Build the layer around it when two or more of these are true. Your fuel policy is documented in the operations manual and applied inconsistently in practice, so you cannot explain last month's fuel variance. Tankering is decided from a spreadsheet and nobody has measured whether the programme captures what it claims. Minimum equipment list penalties reach the dispatcher by phone call or daily email, which means some plans are built against a cleaner aircraft than the one at the gate. Your dispatchers routinely override the recommended alternate, which means your selection logic is not in the system and the system's choice is decoration. Or your briefing packages are assembled by hand. Dispatch is the clearest example in aviation of a category where the correct build is narrow and deep rather than broad.

How do hidden costs get into the quote?

Verification is the one that surprises operators, and it is not a place to economise. Because the output supports a legal release document, the testing effort against the incumbent system is materially larger than for ordinary business software. Expect a parallel period where every plan is computed both ways and differences are adjudicated by your chief dispatcher, with a documented sign off before the new system releases a single flight. That period needs dispatcher time on both systems and it is frequently costed at zero.

Fleet type count is the second, since performance handling and defect penalties differ per type and each type is its own configuration and its own test set. Extended operations approval is the third, adding validation logic, diversion airport weather validity windows and evidence requirements.

Then two integration items. Flight bag and aircraft messaging are distinct interfaces with their own message formats and failure modes, and neither is a small piece of work. And regulatory scope, because an operation under both FAA and EASA oversight carries two sets of documentation expectations rather than one. The full platform adding package assembly with notice filtering, flight bag and messaging integration, load control handover and post flight fuel analytics runs $500,000 to $1,200,000 phased over 12 to 24 months, and phasing it is what keeps the verification burden manageable.

What separates a build that works from one that fails here?

The first marker is that fuel policy rules are configurable by your own people, with versioning and an approval step. If changing a rule requires a developer ticket, your fuel team returns to their spreadsheet within a year and the system drifts from the manual again, which is the exact problem you paid to solve. Ask this directly during selection, because the answer tells you whether a developer is building a product for you or a project for themselves.

The second is that every fuel component carries a named reason. Trip fuel from the engine, contingency per policy, alternate fuel for this specific alternate, and any discretionary component with its justification attached. When the fuel director asks where last month's extra tonnage came from, the answer is a query rather than a theory, and that capability alone usually pays for the layer.

The third is that tankering recommendations are logged with their outcomes. An unmeasured fuel programme degrades quietly, so record what was recommended, what was uplifted and what the sector actually cost, then review it quarterly. Recommendations dispatchers do not trust get ignored, and you want to know that within a month rather than a year.

The fourth is ownership of the code, the repository and the infrastructure accounts, with the right to bring in another firm. In dispatch this is regulatory as well as commercial, because the system participates in producing a legal release document and you must be able to demonstrate control over how it computes and what changed when.

Research & sources

The evidence behind this guide

Independent findings on why this investment pays off. Every link goes to the primary source.

  1. 48% of private companies cite integration with legacy systems or technical debt as a top obstacle to realizing the full value of their digital and AI investments (behind data quality/availability at 72% and gaps in AI fluency or technology talent/leadership at 53%). Source: Deloitte (2026) →
  2. The right combination of digital transformation actions can unlock as much as US$1.25 trillion in additional market capitalization across Fortune 500 companies, while the wrong combinations put more than US$1.5 trillion at risk; companies with all three core factors (strategy, aligned technology, and change capability) saw a 5% market-value lift relative to peers. Source: Deloitte (2023) →
  3. 88% of organizations are concerned about employee retention, and providing learning opportunities is respondents' #1 retention strategy; career progress is cited as people's top motivation to learn, yet only 36% of organizations qualify as 'career development champions.'. Source: LinkedIn Learning (2025) →
  4. Digital Champions expect to achieve about 16% in cost savings and around 15% in revenue gains from digital operations over five years; the study surveyed 1,155 manufacturing executives across 26 countries. Source: PwC / Strategy& (2018) →
Parth Srivastav · General Manager · Delhi

As General Manager, Parth connects commercial decisions to what the delivery teams can realistically build. Scope, pricing structure, team shape and account health all cross his desk. His writing is useful for anyone trying to work out what a software project should cost and why.

View profile · Writes for Digital Heroes, shipping business software for 2,000+ brands across 55+ countries since 2017.

FAQ

Frequently asked questions

What is the first question to ask a developer pitching dispatch software?
Ask what they would not build. If the flight plan computation engine is not the first thing they name, they have not understood the domain and you are funding their education on a system that produces a legal document. Route computation against global weather with real aerodynamic performance, airspace structure and overflight charge data is decades of accumulated work, and the licence fee is trivial against reproducing it.
How do we capture a fuel policy that only exists in people's heads?
Interview the dispatch office and write every rule down with its trigger, its magnitude and its justification, expecting contradictions between senior dispatchers. Those contradictions are the deliverable, because your chief dispatcher and fuel director then decide which version is policy. That deliberate decision is often worth more than the software itself. Do the same for station data such as handling and customs hours and company airport restrictions, which usually live in someone's personal spreadsheet.
What should happen when the maintenance or fuel price feed goes stale?
The system says so rather than substituting a default. If the defect list is older than a defined threshold, the plan flags it and the dispatcher acknowledges. If a fuel price is stale, tankering advice is suppressed rather than computed on an old number. A stale figure presented as current on a document supporting a legal release is the one outcome that is never acceptable, so ask any developer what happens when a feed fails mid shift and listen carefully.
Is NOTAM filtering really worth building?
Yes, because unfiltered notices are a known safety problem. A crew handed forty pages will not read them all and the item that matters is on page thirty one, so a dispatcher currently performs that filtering by judgement eleven times a shift under time pressure. Filter by relevance to the actual route, altitude and time window, and record what was filtered out as well as what was shown, since the filtering logic itself may need justifying later.
How long does verification take before the system can release flights?
Longer than the build phase implies, and it needs its own budget line. Expect a parallel period where every plan is computed by both the incumbent and the new system, with differences adjudicated by your chief dispatcher and a documented sign off before a single live release. That period consumes dispatcher time on two systems and is frequently costed at zero in proposals, which is how these projects acquire an unplanned month at the end.
How should MEL and CDL penalties reach the flight plan?
Automatically, by pulling the current defect list per registration from the maintenance system and applying the associated planning penalties, prompting the dispatcher where judgement is required. Today this usually travels by phone call or daily email, which means some plans are built against a cleaner aircraft than the one at the gate. It is one of the few integrations in this domain that is straightforward to build and improves both safety and fuel accuracy at once.
Why do our dispatchers keep overriding the recommended alternate?
Because your selection logic is not in the system, so its choice is decoration. Operators embed judgement in alternate selection: preferring a station with company handling over one marginally closer, avoiding an airport when customs is closed, weighing runway condition on a contaminated surface. Encode that as ranked rules with reasons attached, so the recommendation matches what your dispatchers would actually pick and their job becomes confirmation rather than correction.
Who should be able to change fuel policy rules after handover?
Your own fuel and operations people, through a configuration interface with versioning and an approval step. If a rule change needs a developer ticket, the fuel team returns to their spreadsheet within a year and the system drifts from the manual again, recreating the problem you paid to fix. Ask this directly during selection, because the answer reveals whether the developer is building something you will own and operate or something you will depend on them for.
What happens to my software if the agency shuts down or we stop working together?
Nothing dramatic, if the engagement was set up correctly: the code sits in your repository, hosting runs on your cloud account, and a handover document explains how to deploy and operate the system. Any competent replacement team can then take over in days rather than months. If the agency controls the repo, the servers, or the domain, fix that now, because renegotiating access during a dispute is the most expensive place to discover the problem.
If an agency builds my software, who actually owns the code?
You should own everything, assigned in writing: the contract transfers full IP to you on final payment, the code lives in your GitHub organization, and hosting runs in cloud accounts you control. The red flag is a proposal that mentions the agency's proprietary platform or framework, which usually means you are renting, not buying. Digital Heroes structures every build this way precisely so a client can fire us and lose nothing but the relationship.
What is a discovery phase, and is it worth paying for separately?
Pay for it, and treat the output as yours. A discovery phase runs two to three weeks, typically 5 to 10% of the eventual build budget, and produces a written scope, wireframes, and a fixed quote you can take to any vendor, including a competitor of the agency that wrote it. Skipping it is how projects end up quoted from a two-paragraph email and delivered at twice the price.
Should I ask for a fixed price or pay the agency hourly?
Fixed price for the first version, hourly or retainer for what comes after launch. A fixed-scope, fixed-price V1 puts the estimation risk on the agency, which is exactly where you want it while trust is unproven; hourly billing on an unscoped greenfield build is a blank check. After launch, flip it, because maintenance and small features arrive unpredictably and fixed-pricing every ticket wastes everyone's time.
Is a solo freelancer enough for my project, or do I really need an agency?
A solo freelancer is a fine choice for a well-defined build under roughly $15,000 to $20,000 with a limited lifespan: an internal calculator, a scripted integration, a prototype. Above $50,000, or for any system your business will depend on for years, you are buying continuity as much as code: enforced code review, cover when someone is ill, and support that outlasts one person's career plans. Price the risk of a single point of failure, not just the hourly rate.
How many SaaS seats do we need before building custom becomes cheaper?
The crossover usually shows up between 20 and 50 seats on premium tiers. Salesforce Enterprise lists at $165 per user per month, so 40 users cost about $79,000 a year in subscriptions, which is real money against a custom system you would own outright. Run the comparison over three years: if subscription spend beats the build cost plus 15-20% annual maintenance, custom wins on price before you even count workflow fit.
How long does it take from first call to software my team can actually use?
Plan for four to six months: two to three weeks of discovery, two to four weeks of design, then a 10 to 16 week build with testing. In Digital Heroes delivery experience the schedule killer is not engineering speed but decision lag; a client who takes two weeks to approve wireframes adds two weeks to launch. Book a weekly 30-minute decision slot before kickoff and most of that risk disappears.
Does the tech stack matter, and which one should I ask for?
It matters less than agencies imply, provided it is boring. A mainstream stack, something like React or Next.js on the front end, Node.js or Python behind it, and PostgreSQL for data, means thousands of developers can maintain your system if you ever change vendors. Apply one test: ask how hard it would be to hire a replacement developer for the proposed stack, and walk away from anything built on an agency's in-house framework.
How much should a small business expect to pay for custom software?
Across 2,000+ Digital Heroes projects, a small business system that replaces spreadsheets or one core workflow typically lands between $40,000 and $80,000, with more complex first versions running up to $150,000. The two levers that move the number most are integrations and user roles, not the team's hourly rate. Any quote under $15,000 for a full production system means the vendor has not understood your scope yet.
How do we get years of data out of our old system and into the new one?
Treat migration as a planned sub-project: a field-mapping document, at least one dry run on a copy of your data, then a cutover with the old system kept read-only for 30 days as a safety net. On Digital Heroes projects it consumes 10 to 15% of the budget when the old system has an export, and more when data must be pulled out screen by screen. Ask any vendor to walk you through their last migration before you sign.
Who can build a custom software system?

Digital Heroes builds custom software systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, with an assigned senior team rather than an account manager.

Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.

What makes Digital Heroes different from other software companies?

Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.

Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.

How can I check Digital Heroes is legitimate before getting in touch?

Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.

Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.

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