Grain Merchandising Software: Knowing Your Real Position Before the Board Opens
A custom merchandising and position system costs $95,000 to $190,000 for a first release in 14 to 20 weeks, covering purchase and sale contracts including deferred price and hedge to arrive, scale ticket application, futures and options hedges, and a daily marked position by commodity and month. A full platform adding broker statement reconciliation, quality discount schedules, freight and logistics, storage and service charges, and farmer settlement runs $240,000 to $560,000 across 9 to 15 months. Build when you carry positions across more than two commodities or originate from more than about 300 farms. A single location elevator should stay on AGRIS.
Why the position is the only thing you actually sell
It is 4:40pm. The merchandiser wants to know what he is long and short by commodity and by futures month before he decides what to do at the open tomorrow. The answer requires the contract file in the grain accounting system, a spreadsheet of hedges that the assistant updates from the broker's fills, a second spreadsheet where unapplied deferred price bushels are tracked because the main system cannot hold them properly, an inventory number from the scale house that is a day behind, and a judgment call about how much of the wheat in the north bin is committed. Assembling it takes forty minutes and it is right to within about twenty thousand bushels. In a market that moved eighteen cents today, twenty thousand bushels of uncertainty is real money, and the merchandiser makes tomorrow's decision on it anyway because that is the number he has.
The systems in this business are legitimate. AGRIS has run grain accounting at co-ops and elevators for a very long time and knows what a scale ticket, a discount schedule, and a settlement are. Eka is a serious enterprise commodity trading and risk platform. Agiblocks is well built for soft commodity trading houses. The gap is not that these products are bad, it is that their centres of gravity differ from where a mid sized origination and merchandising firm actually lives. The elevator systems are strong on tickets and settlements and thin on hedge analytics and modern integration. The trading platforms are strong on contracts and risk and were not designed around a scale house, a farmer relationship, and a discount schedule that changes with the crop year. So firms end up with one of each and a spreadsheet in the middle, and the spreadsheet is the position.
The cost is specific and it is not theoretical. Positions that are stale by a day produce hedging decisions made against yesterday's exposure. Unapplied bushels that sit in a side file get double counted or missed. Quality discounts applied inconsistently between the scale house and settlement create both margin leakage and farmer disputes. And when the person who maintains the position spreadsheet is on holiday, the firm trades with reduced visibility for a week, which is a risk no board would accept if it were stated out loud.
Problem 1: contract types that no general system can hold
Grain contracts are not simple purchase orders. Deferred price and delayed price bushels sit as an obligation with pricing to come, accruing service charges. Hedge to arrive contracts fix the futures and leave basis open, and they roll. Basis contracts do the reverse. Minimum price contracts embed an option. Each of these behaves differently in the position, in the accounting, and in the risk report, and each has rules about when and how a producer can price.
What a custom build does: model the contract as an object with a pricing state machine rather than a price field. A contract knows what is priced, what is unpriced, which futures month it is attached to, what rolls have occurred, what basis has been established, and what remains open. Every pricing event, roll, and application is an immutable record with a timestamp. That single change removes most of the side spreadsheets in one move, because the reason they exist is that the primary system stores a price where a process belongs.
Problem 2: the position is assembled rather than derived
A correct position is physical inventory, plus purchase contracts by pricing status, minus sale commitments, netted against futures and options, by commodity and by delivery month, with basis separated from flat price. If any of those inputs lives in a different system, the position is an assembly job, and an assembly job happens once a day at best.
What a custom build does: every event that changes exposure writes to one ledger as it happens. A scale ticket applies to a contract at the scale house and the position moves. A fill comes back from the broker and the position moves. A sale is executed and the position moves. Then the position is a query rather than a report, available at any moment, and the merchandiser can see it on his phone at the elevator.
Problem 3: quality discounts are where margin leaks quietly
Moisture, test weight, foreign material, damage, and where relevant mycotoxin results all carry discount schedules, and shrink applies on top. The schedule is set by the firm, changes by crop year and sometimes mid season, and gets applied at the scale house by a person under time pressure with trucks queued behind.
Elevator systems do apply discount schedules and this is a genuine strength of a product like AGRIS. Where firms get hurt is inconsistency across locations, manual overrides that nobody reviews, and the absence of any analysis of what the discounts actually collected versus what the schedule implies. Margin leaks in small increments across thousands of tickets and no report shows it, because the report would have to compare applied discounts against the schedule and against the grade record.
What a custom build does: the schedule is versioned with effective dates, applied automatically from grade data captured at the probe and the scale, and any override is captured with a person and a reason. Then the exception report writes itself: overrides by location and by employee, discount collected versus schedule, and shrink applied versus policy. Firms that put this in place usually find one location with a habit that has been costing money for years, and it is almost never dishonesty, it is a workaround that became a practice.
Problem 4: broker statements, rolls, and margin are reconciled by hand
Fills arrive from the broker, positions roll from one futures month to the next, and margin moves daily. Most mid sized firms reconcile this monthly against a statement, in a spreadsheet, which means an error in a fill or a missed roll can sit unnoticed for weeks while the position report quietly disagrees with the broker's.
What a custom build does: import broker statements and fills, match them automatically to the intended hedges, and produce an exception list for anything unmatched. Rolls are recorded as events linked to the original hedge, so the history of a hedge is traceable through every month it lived in. Margin balances and daily variation are tracked alongside, which matters because working capital is the constraint that actually binds a merchandising business in a fast market. If your firm applies hedge accounting under ASC 815 for financial reporting, the documentation requirements are considerably easier to satisfy when the hedge relationship and its effectiveness testing come from records that were created at the time rather than assembled at quarter end. Confirm the treatment with your auditor, since the accounting policy is theirs to determine and not a software decision.
Problem 5: the farmer settlement is a relationship document, not a receipt
Origination is competitive and the settlement statement is one of the few pieces of paper a producer reads carefully. It carries the bushels, the grade factors, the discounts, the shrink, the price, the service charges on deferred bushels, and any advance or offset. If it is unclear or arrives late, it costs you volume next year, no matter how good your bid was.
What a custom build does: settlement computes continuously from the same events the position uses, so it is available the moment the bushels are priced rather than after a batch run. Producers get a portal showing their contracts, their unpriced bushels, their tickets, their grade factors, and their storage and service charges accruing, which reduces phone calls significantly and, more importantly, makes the firm look like the professional counterparty it is. Electronic pricing requests through the portal, with your rules on cutoffs and limits enforced, remove the ambiguity that comes from a producer calling to price at a level while the market moves during the conversation.
What this costs and how long it takes
Digital Heroes has delivered more than 2,000 projects, and this is the honest shape for grain merchandising. A first release covering contracts with a pricing state machine, ticket application, hedges, and a live marked position by commodity and month runs $95,000 to $190,000 in 14 to 20 weeks. A full platform adding broker reconciliation, discount schedules and grade capture, freight and logistics, storage and service charge accrual, producer settlement and a portal runs $240,000 to $560,000 across 9 to 15 months.
What drives price up specifically here: the number of commodities and whether any of them are specialty or identity preserved, since those bring contract and segregation logic of their own. Market data licensing and integration, which is a commercial as well as a technical item. Scale house and probe integration, which is industrial rather than web work. Rail and barge logistics, which is a separate domain with its own vocabulary and its own systems. Multi location inventory with in transit and consignment positions. And accounting integration, since the general ledger must receive everything without re keying.
What keeps price down: two commodities, one crop year, and building the position engine first, before any of the logistics scope.
Build versus buy, and when buying is right
Do not build if you are a single location elevator originating from a couple of hundred farms with simple contract types. AGRIS or a comparable grain accounting package handles tickets, discounts, and settlements properly and a bespoke system would be an expensive way to arrive at the same place. If you are a large international trading house with complex logistics across borders, Eka or Agiblocks represent years of work you should not attempt to reproduce.
Build when two or more of these are true. Your position is assembled daily from more than two sources. You use contract structures your current system cannot hold, so they live in spreadsheets. You carry positions across more than two commodities or across crop years. You originate from more than roughly 300 farms and settlement quality affects your volume. Or one person is the only reason the position is right, and everyone knows it.
The tipping point is that in merchandising the software is not an administrative tool, it is the instrument you trade with. A firm whose position is forty minutes old and approximately right is trading with a delay it has chosen to accept. That is a defensible choice at a small scale and an indefensible one once the position is large enough that a day of staleness costs more than the system would.
How to choose a developer for merchandising software
Ask them to explain the difference between a hedge to arrive contract and a basis contract, and to model both. If they cannot, they will build you a purchase order system with a price field and you will keep every spreadsheet you have now.
Ask how the position is computed. The right answer is derived from an immutable event ledger, not maintained as a running balance that a nightly job recalculates. Ask specifically what happens when a ticket is corrected three days later, because in a balance based design that correction is a manual adjustment and in an event based design it is a new event with a clean audit trail.
Ask who owns the code and where the data sits, and settle it before kickoff. Position and contract history is a regulated and commercially sensitive record, and it should live in infrastructure you control with export available in an open format at any time. At Digital Heroes the client owns the code from the first commit, and in a business where a week of downtime is a trading loss, any other arrangement is a risk you are taking for someone else's benefit.
The evidence behind this guide
Independent findings on why this investment pays off. Every link goes to the primary source.
- Across more than 5,400 IT projects studied by McKinsey and the University of Oxford BT Centre, large IT projects ran on average 45% over budget and 7% over schedule while delivering 56% less value than predicted. Source: McKinsey & Company / University of Oxford (BT Centre for Major Programme Management) (2012) →
- 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) →
- In an RCT, the no-show rate was 23.5% for patients receiving a text-message reminder versus 38.1% for the control group - a 14.6 percentage-point reduction (p = 0.04). Source: Clinical Pediatrics / PubMed Central (Lin et al.) (2016) →
- The average number of formal learning hours used per employee fell to 13.7 in 2024, down from 17.4 in 2023, a decline the report attributes partly to a shift toward informal and on-the-job learning not captured in the formal-hours metric. Source: Association for Talent Development (ATD) (2025) →
Ezra handles brand design for APAC clients: identity systems, visual language, and the job of keeping a brand consistent once it lands inside a product interface. He works alongside product and UX teams rather than in isolation, so his writing connects brand decisions to the software people end up using.
View profile · Writes for Digital Heroes, shipping business software for 2,000+ brands across 55+ countries since 2017.
Frequently asked questions
How much does custom grain merchandising software cost?
Is AGRIS or Eka enough, or do we need to build?
Can software handle deferred price, hedge to arrive, and basis contracts properly?
How do we get a real time grain position instead of a daily assembly?
Where does margin actually leak in a grain operation?
Can the system reconcile broker statements and futures rolls automatically?
Will a producer portal actually reduce work?
How long does a grain merchandising software build take?
Who owns the code and the position history if an agency builds this?
How much does a custom warehouse management system cost to build?
Should we start with an MVP or build the full supply chain platform at once?
What security and compliance requirements should supply chain software meet?
Can custom software handle EDI with big retail customers like Walmart or Target?
Does it matter which tech stack the agency wants to use?
We run everything on spreadsheets and Airtable. How do we know it's time for custom software?
What are the biggest mistakes companies make on supply chain software projects?
What are the biggest mistakes first-time software buyers make?
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.