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How Much Does Refinery Planning and Blending Software Cost in 2026?

Refinery planning and blend optimisation software runs $90,000 to $600,000, and the single decision that moves the number most is whether a recommendation is allowed to reach blend control.

Supply Chain Software software overview illustration for Refinery Planning Blending Software Cost Guide.
The short answer

Refinery planning and blend optimisation software runs $90,000 to $600,000, and the single decision that moves the number most is whether a recommendation is allowed to reach blend control. A read only system that computes a recipe against measured tank properties and reports giveaway sits in the first release band and ships in a quarter. The moment the system can write a setpoint, control engineering change management, a functional review and a site acceptance test enter scope, and the same functional coverage roughly doubles in cost and time.

The bands a refinery blending build falls into

The first release band is $90,000 to $200,000 over 14 to 20 weeks. That covers blend recipe optimisation against live component tank properties pulled from your laboratory information management system, giveaway measured per blend, and reconciliation back against the targets your planning model set. It is a system your blenders use on the next shift rather than a study, and it is read only, meaning the recommendation appears on a screen and a person decides what to do with it.

The full platform band is $250,000 to $600,000 phased over 9 to 18 months. That adds a movements ledger with continuous tank reconciliation, movement scheduling, online analyser feedback with mid blend re optimisation, running regulatory position tracking, and crude evaluation support.

There is a smaller opening move worth naming, because it is often the right first purchase. Giveaway measurement alone, meaning certificate capture against spec per blend, per component and per blender with a reconciliation report against plan targets, runs $35,000 to $60,000 over six to eight weeks. In our delivery experience it surfaces two things quickly: the giveaway is larger than the planning team assumed, and it concentrates in a small number of grades and shifts, which changes where you spend the rest of the budget.

What drives a refinery blending build up

The number of blended products and grades is first. Every product carries its own property set, its own specification and its own correlation behaviour, and the correlation work is engineering rather than software. Two grades is a project. Seven grades with seasonal vapour pressure variants is a different project.

The state of your laboratory system is second. LabWare, SampleManager and bespoke installations all expose results differently, and the real variable is whether sample points are named consistently enough that a machine can map a result to a tank without a human deciding each time. Sites where three people have named sample points over fifteen years pay for that in discovery.

Online analyser feedback and any write path toward blend control is third, and it is the largest single step. Near infrared analysers on the header let you re optimise the remaining volume mid blend, which is the strongest giveaway control available. It also brings control engineers, your management of change process and a site acceptance test into the programme, all of which should be budgeted rather than discovered.

Non linear property handling is fourth. Octane does not blend on a volume weighted average and vapour pressure blends by index. Getting that right needs your own process engineers alongside the developers.

Multiple sites or a terminal network is fifth. Movement rules, custody transfer points and local specifications differ per location, so the second site is real scope rather than a configuration screen.

What keeps the number down

Start with your highest volume blended product and one giveaway property. Gasoline octane or diesel cloud point usually pays for the whole first release on its own, and the model built for one property carries over.

Keep AspenTech PIMS or Haverly for the economic plan. Your build reads its targets and reports back against them rather than replacing it.

Make the first release read only. The blender accepts or rejects a recommendation on screen. That single decision removes the control system change path from the first phase, and it builds the operator trust you will need before anyone lets software move a valve.

Have your process engineers write down the correlations and the specification margins they currently apply before the project starts. This costs nothing, it is the pacing item on almost every blending build we have delivered, and a developer cannot do it for you.

Defer the movements ledger if your scheduling is stable and month end reconciliation is not producing arguments.

A worked example that adds up

A single site refinery blending roughly 60,000 barrels a day of finished gasoline and diesel across five grades, running LabWare for laboratory results and AspenTech PIMS for the monthly plan, with no online analysers on the blend header.

  • Discovery, including two weeks with process engineers on property correlations and a night shift watching a blend built: $16,000
  • Component tank property model carrying measured value, source, timestamp and confidence per property: $22,000
  • Laboratory system integration, sample point mapping and scheduled result pull: $18,000
  • Blend optimiser with non linear handling for octane and vapour pressure, solving against specification with a confidence margin: $34,000
  • Blender workstation showing the recommended recipe, the margin it is carrying and why: $24,000
  • Giveaway measurement per blend, per component and per blender, with certificate capture: $19,000
  • Reconciliation reporting back against plan targets exported from PIMS: $14,000
  • Testing, parallel running across two blend cycles and floor training: $11,000

That totals $158,000, in the upper half of the first release band because of the grade count and the correlation work. A two grade site with consistent sample point naming lands nearer $95,000. Adding the movements ledger, tank reconciliation, analyser feedback with mid blend re optimisation and running regulatory position tracking takes the same site to roughly $380,000 to $500,000 in total across the following year.

How the spend phases

Discovery is three weeks and around 10 percent. It has to include a night shift, because the recipe a blender describes in a meeting and the recipe he actually runs at two in the morning are different documents, and the gap between them is the entire project.

The property model is roughly 14 percent, weeks three to six. This is where a developer either demonstrates that they understand property uncertainty or reveals that they intend to store a single number per property. Insist on seeing the data model drawn before anything else begins.

Laboratory integration is around 11 percent and runs in parallel. Budget the sample point mapping as its own task, because it is a decision exercise with your laboratory manager rather than an engineering one.

The optimiser carries around 22 percent, weeks seven to fourteen, and the correlation work inside it needs your process engineers rather than more developers.

The blender workstation is roughly 15 percent and it is where adoption is won or lost. If it takes more than a few seconds to read, it will be ignored on a busy shift.

Giveaway measurement and reconciliation reporting take about 21 percent between them, and they make the business case visible to people who never see the optimiser.

Testing and training take the remainder. Run the recommendation alongside the blenders own judgement for at least two cycles and treat every objection as a constraint to be encoded.

The ongoing costs nobody quotes

Correlation maintenance is the standing effort and nobody budgets it. A new crude slate, a unit revamp or a catalyst change shifts the behaviour of a component stream, and a correlation that is quietly wrong reintroduces the padding the system was built to remove. It should be owned by a named process engineer with a review cadence.

Sample point drift is the second. Laboratories add sample points, rename them and retire them, and every change breaks a mapping until someone updates it. This is a few hours a month and it is invisible until it stops happening.

Hosting and compute are modest because the solver runs per blend rather than continuously. A single site typically settles at $200 to $600 a month.

Certificate and blend record retention is a compliance cost rather than a technical one. Records supporting a fuel certificate need to survive well beyond the year they were created, and the period is set by your compliance team rather than by your hosting provider.

Operator turnover carries a training cost, because blenders rotate and a system built around a carried margin needs a short induction each time.

Support and enhancement typically runs 12 to 18 percent of build cost annually, weighted towards enhancement in the first two years as grades and properties are added.

Comparing a build against your current renewal

Your planning licence renewal is not the comparison, because you are keeping it. The comparison is the giveaway you are carrying today, and the only credible version of that number is your own.

Measure it first. Take three months of certificates for your highest volume grade, compare the certified property against the specification minimum, and express the difference as a volume of the expensive component you did not need to add. That takes an analyst a week and produces a number your finance director will accept, which no vendor case study will.

Then add two more numbers. First, the tanks reprocessed as off specification in the last two years, valued at the reprocessing cost plus the schedule disruption. Second, the position you are carrying on annual average obligations, because United States Tier 3 gasoline carries a 10 parts per million annual average sulfur standard with a higher per batch cap and highway diesel is capped at 15 parts per million, so room spent early in the year is optionality you no longer have in December.

Those three figures, measured on your own site, are the business case. Build them before speaking to anyone rather than accepting an industry average, because giveaway varies enormously by configuration and any general figure is close to meaningless applied to your plant.

When buying beats building

Buy if your problem is crude selection or monthly economics. AspenTech PIMS and Haverly are mature, they carry decades of embedded modelling, and a custom rival to the economic linear program is a bad use of capital.

Keep what you have if you run a fully commissioned Honeywell or AVEVA blending and movement installation, with analysers feeding it and operators who trust the recommendations. Your gap is almost certainly reporting rather than optimisation, and a reporting layer on a working control system is a much smaller project.

Do not build below roughly 30,000 barrels a day of finished blending. At that volume the giveaway recovered may not clear the cost of building and running the system, and you will get most of the benefit from tighter laboratory sampling and a simple report showing certified results against specification per blend. Measure for three months, then decide with a number in front of you.

Build when two or more of these are true. Your blenders routinely trim recipes by hand and nobody measures the trim. Your component property data is old enough at blend time that padding is rational rather than lazy. You have no single record joining a blend event to its actual draws, its certificate and its giveaway. Your annual sulfur or vapour pressure position lives in a spreadsheet updated monthly while blend decisions are made nightly. Or your planning variance meeting cannot separate giveaway from yield.

When the shortlist is down to two and you need a tiebreaker, Digital Heroes builds and runs its own products, so the people choosing your architecture live with those decisions on their own revenue. You can take that specification to any other firm on your shortlist.

Research & sources

The evidence behind this guide

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

  1. McKinsey estimates that digitizing the supply chain (Supply Chain 4.0) can cut lost sales by up to 75%, reduce inventories by up to 75%, and lower supply chain operational costs by up to 30%, with up to 30% lower transport and warehousing costs. Source: McKinsey & Company (2016) →
  2. 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) →
  3. Gallup reports global employee engagement fell to 20% in 2025 (its lowest since 2020, down from a 2022-2023 peak of 23%), and estimates low engagement costs the world economy an estimated $10 trillion in lost productivity, or 9% of global GDP. (Note: this figure appears in Gallup's evergreen State of the Global Workplace page, currently reflecting the 2026 edition reporting on 2025 data.). Source: Gallup (2025) →
  4. Across ten outpatient clinics the mean no-show rate was 18.8%, and the marginal cost of no-shows reached $14.58 million per year for those clinics, at roughly $196 per missed appointment (2008 figures). Source: BMC Health Services Research / PubMed Central (Kheirkhah et al.) (2015) →
FAQ

Frequently asked questions

What is the total cost of custom refinery blending software?

A first release covering blend optimisation against measured tank properties, giveaway measurement per blend and reconciliation against plan targets runs $90,000 to $200,000 over 14 to 20 weeks in our delivery experience. A full platform adding a movements ledger, tank reconciliation, analyser feedback with mid blend re optimisation and regulatory position tracking runs $250,000 to $600,000 phased over 9 to 18 months.

Grade count and any write path toward blend control drive most of the range. A read only first release is materially cheaper than one that can move a setpoint.

What does a blending system cost to run each year?

Hosting is small, typically $200 to $600 a month for a single site, because the solver runs per blend rather than continuously. Certificate and blend record storage grows slowly and is a retention obligation rather than a cost problem.

The real annual cost is correlation maintenance. Every crude slate change, unit revamp or catalyst change shifts component behaviour, and a stale correlation quietly reintroduces the padding you built the system to remove. Budget a named process engineer with a review cadence, plus support and enhancement at 12 to 18 percent of build cost.

How long does it take to build blend optimisation software?

Fourteen to 20 weeks for a first release covering one or two high volume products. Engineering is rarely the constraint.

The pacing items are property correlation work with your own process engineers, sample point naming in the laboratory system, and getting blenders to trust the recommended recipe. Expect a parallel period where they run the recommendation alongside their own judgement and challenge it, which is exactly what you want because their objections become constraints.

Is AspenTech PIMS cheaper than building our own system?

For what it does, yes, and you should keep it. The economic linear program chooses a crude slate and sets unit targets in periods and averages, and rebuilding that is a poor use of capital.

What it cannot do is tell a blender what to put in tank 214 tonight when the reformate tank has drifted since the last certificate, because it will not be rerun for one blend. The build sits below the plan rather than replacing it, which is why a first release is a fraction of what a planning platform costs.

How much does online analyser feedback add to the budget?

Typically $70,000 to $150,000 depending on how many blend headers are instrumented and how far toward the control system the write path goes. That covers reading analyser output during the blend, re optimising the remaining volume and presenting the revised recipe.

The cost is not mostly software. It is control engineering change management, a functional review and a site acceptance test, all of which are appropriate and none of which compress. If your headers already have near infrared analysers feeding a working blend controller, this is the highest value phase two item available.

Why does each additional blended grade cost so much?

Because every grade carries its own property set, its own specification and its own correlation behaviour, and the correlations are engineering rather than configuration. A grade is not a row in a table, it is a small modelling exercise with your process engineers.

Building one grade properly first is the cheapest path. The property model, the uncertainty handling and the giveaway reporting all carry over, so the second grade costs a fraction of the first and the fifth costs less again.

Can we build only the giveaway measurement first?

Yes, and for many sites it is the right first purchase. Certificate capture against specification per blend, per component and per blender, with a reconciliation report against plan targets, runs $35,000 to $60,000 over six to eight weeks.

It also tells you where to spend the rest of the budget, because giveaway is rarely spread evenly. It concentrates in particular grades and particular shifts, and knowing which ones changes the scope of the optimiser you build next.

Does this replace our Honeywell blend control system?

No, and it should not try. Blend control ramps the components and holds the ratios, and that is a control discipline with its own safety and change management regime.

The build sits above it, deciding what the ratios should be from measured component properties and specification headroom, and below the planning model, which works in monthly averages. If your Honeywell installation is fully commissioned with analysers and operator trust, your remaining gap is usually reporting rather than optimisation and the project is much smaller.

What is the cheapest credible version of this system?

Around $95,000 for a two grade site with consistent laboratory sample point naming, no analyser feedback and no movements ledger in the first release. That buys the component property model with uncertainty, laboratory integration, the optimiser for those grades, a blender workstation and giveaway measurement.

Be sceptical of a cheaper quote from anyone who says vapour pressure blends on a volume weighted average. It does not, it blends by index, and a developer who does not know that will produce recipes that are wrong before the pump starts.

What tech stack is best for custom supply chain software?

Boring and mainstream wins: a typed backend such as Node with TypeScript, Python, or C#, PostgreSQL for transactional inventory data, a React web frontend, and hosting on AWS, Azure, or GCP. Real-time needs like scanner feeds or live shipment tracking add a message queue such as Redis or RabbitMQ. Be wary of any agency pitching an exotic stack; in Digital Heroes handover work, systems built on niche frameworks are consistently the hardest and most expensive for a new team to take over.

What does it cost to maintain custom supply chain software each year?

Budget 15 to 20 percent of the original build cost per year, so roughly $9,000 to $12,000 annually on a $60,000 system, covering hosting management, dependency updates, bug fixes, and small enhancements. Across its maintenance contracts, Digital Heroes sees supply chain systems need more upkeep than typical web apps because carrier APIs, EDI specs, and ERP versions keep changing underneath them. Hosting itself is usually minor, often $100 to $500 per month for a mid-size operation.

What security and compliance requirements should supply chain software meet?

At minimum: role-based access control, encryption in transit and at rest, audit logs on inventory and order changes, and tested backups, because the system holds supplier pricing and customer purchase history your competitors would love to see. If enterprise customers connect to it, expect security questionnaires and possibly SOC 2 expectations; food, pharma, and aerospace add traceability rules like FDA lot tracking or ITAR data handling. Raise these in the first scoping call, since retrofitting audit trails onto a live system costs far more than designing them in.

We run everything on spreadsheets and Airtable. How do we know it's time for custom software?

The reliable signals are re-typing the same data into multiple tools, one employee acting as human middleware between systems, and errors appearing in handoffs between teams. Hard limits force the issue too: Airtable's Team plan caps at 50,000 records per base, and Business costs $45 per seat per month, so a 20-person team pays about $10,800 a year for a tool it has already outgrown. When workarounds consume more hours than the tools save, the spreadsheet era is over.

What should I prepare before contacting a software development agency?

A one-page brief beats a 40-page requirements document: the business problem in plain words, who will use the system, the 5 to 10 workflows it must handle, the tools it must connect to, and your budget range and deadline driver. You do not need wireframes, a specification, or technical vocabulary; producing those is the agency's job during discovery. Stating a budget range up front is the single best move, because it gets you honest scoping instead of a quote engineered to win the meeting.

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.

Is custom software more secure than off-the-shelf SaaS?

Neither is secure by default; security tracks the practices of whoever builds and operates the system, not the model. SaaS gives you the vendor's certifications and patching but puts your data in a shared multi-tenant platform on their terms, while custom gives you full control over data residency, access rules, and compliance requirements like HIPAA, with the responsibility sitting with you and your agency. Before hiring anyone for a system holding sensitive data, ask for their security checklist: encryption at rest and in transit, an OWASP Top 10 review, role-based access, and a penetration test before launch.

Will custom software scale as we add warehouses, SKUs, and order volume?

Yes, if multi-location support and your target volumes are stated requirements at design time, because a schema built for one warehouse is expensive to retrofit for ten. A well-built system on PostgreSQL comfortably handles millions of SKUs and tens of thousands of orders per day on modest cloud hardware, so scaling cost shows up in hosting bills rather than rewrites. Give your agency the 3-year growth picture upfront even if phase one covers a single site.

How long does it take to build custom supply chain software?

Plan on 10 to 14 weeks for a first production release covering one or two core workflows, and 6 to 9 months for a full platform spanning procurement, inventory, and fulfillment. Digital Heroes ships most supply chain MVPs in about 12 weeks with a 4 to 6 person team. Integrations are the schedule risk: each ERP, EDI, or carrier connection typically adds 2 to 4 weeks of build and testing.

How much does a custom warehouse management system cost to build?

A custom WMS typically costs $40,000 to $120,000 for a single-warehouse operation, and $120,000 to $300,000 once you add multiple sites, wave picking, and labor tracking. Across Digital Heroes WMS builds, the biggest cost drivers are scanner-based workflows, real-time inventory sync with your ERP, and the number of picking strategies you need. A pilot covering receiving, putaway, and picking for one warehouse is the cheapest credible starting point.

Should we start with an MVP or build the full supply chain platform at once?

Start with an MVP that fixes your single most expensive workflow, prove it in daily operations, then expand module by module. That gets working software onto the warehouse floor in about 12 weeks instead of debating a year-long spec, and real usage always reorders the roadmap; features that felt critical in planning routinely get cut after go-live. Digital Heroes typically scopes phase one at 30 to 40 percent of the total vision and lets measured results justify each next phase.

Who can build a custom supply chain software system?

Digital Heroes builds custom supply chain 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 supply chain 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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