Greenhouse and Nursery Software: Build Custom or Buy SBI or Picas?
The line sits at roughly 8 acres under cover, or about $5 million shipped a year, with 200 active stock keeping units and no big box programs.
On this page
The line sits at roughly 8 acres under cover, or about $5 million shipped a year, with 200 active stock keeping units and no big box programs. Below that line, buy: SBI Software or Picas will hold you and your real problem is counting discipline rather than software. Above it, and especially once you run multiple sites or carry fill rate penalties, a build starts to pay, though the version that pays best is usually the hybrid at $60,000 to $130,000 rather than the full platform at $150,000 to $400,000. Most growers reading this fall below the line or belong in the hybrid.
When is off the shelf genuinely the right call here?
The packaged market here is small but real. SBI Software and Picas are the two names most North American growers shortlist. Agriware, built on Microsoft Dynamics 365, sits above them for larger horticultural groups. MapsInfo covers bench mapping. Underneath all of it is the most common configuration in the industry, a nursery package bolted onto QuickBooks with an availability workbook quietly doing the real work.
Buy one of these, and stop reading, if you run a single site under roughly 5 to 8 acres under cover, ship under about $5 million a year, carry fewer than 200 active stock keeping units (SKUs) and have no electronic data interchange (EDI) programs with a big box chain. At that size the packaged licence wins over three years and we will say so plainly. The reason your current system feels broken at that scale is almost always process and data discipline rather than software. A custom build will not fix a nursery where nobody counts.
Buy also if you have already paid for a module and your team abandoned it inside a season. A mapping or scheduling module that got dropped by June is telling you something about how long your growers will tolerate an interaction, not about the vendor. The fix there is a shorter workflow and a named process owner, not a bigger project.
And buy on the finance side regardless of what you decide elsewhere. Nobody has ever been glad they built a general ledger. Accounting stays in QuickBooks or Sage.
When does a custom build actually pay off?
Build when three or more of these are true, not one.
- You run multiple sites and they do not share a location model, because a greenhouse, a field operation and a container yard count differently.
- Unexplained shrink sits above 10 percent and you have no mechanism to attribute a single point of it to a house, a week or a decision. We see operations in the $15 million to $40 million range carrying 11 to 18 percent.
- You carry two or more big box programs with fill rate penalties, which makes availability accuracy a direct cash line rather than a reporting nicety.
- Someone spends more than five hours a week rebuilding a number the system already claims to hold. A crop manager doing six to nine hours of availability by hand is a salary line pointed at a software gap.
- Your head grower's memory of where everything sits is a single point of failure with no backup.
The mechanism that makes a build pay here is specific, and it is worth being precise about. Availability stops being a stored number recalculated periodically against a crop plan and becomes an event sourced ledger: every count, grade change, spacing move, pull and write off is a row, and sellable is the sum, with a confidence flag based on how stale the last physical count on that bench is. Shrink stops being one adjustment line carrying the reason code shrink and becomes a structured event with a cause, a bay and a crop cycle week attached. Neither of those is a setting you can configure into a packaged product, because both change what the underlying data model is.
How do they compare on the things that matter in this industry?
Ignore feature lists and compare on five things you can verify inside a demo.
Location model. Ask the vendor to show a lot splitting across two houses when you space it, with half of it grading out to seconds. Packaged systems generally model site and house well and get vague below that. If bay and bench are not first class objects, walk order picking and bench level counting are both off the table.
Field capture. Ask what happens when a grower scans forty benches with no signal while the order desk edits two of the same lots. Between your crew and the access point sit concrete, steel and wet plastic. A connected only app gets abandoned in week two, and a vendor without a stated conflict rule has built for an office.
Shrink structure. Ask whether a write off can carry a pathogen field, a bay, a crop cycle week and the person who made the call, and whether that can be joined against your Argus or Priva logs. This is where packaged tools are thinnest, because they inherited a general inventory adjustment model.
Per seat economics. Bench counting only works when every grower and every pick crew member has access. Price that properly. A per user licence prices seasonal crews badly, and this single number decides the comparison more often than anything else.
Data portability. Ask for an export of crop cycle history: stick dates, actual ready dates, yields against stick count. If you cannot get it cleanly, you can never train a finish date forecast on your own history, and your bargaining power at renewal is whatever the contract says it is.
What does total cost of ownership look like at your scale?
Get four numbers out of your incumbent before comparing anything: annual licence across every module and every site, the cost of adding mobile seats for growers and pick crew, the cost of adding an EDI trading partner, and the cost and lead time of a change to your availability or allocation logic. That fourth number is the one nobody asks for and the one that decides how the next five years feel.
On the build side our delivery bands are three. A focused first release, meaning bench level inventory with offline counting, live availability and structured shrink capture, runs $60,000 to $130,000 over 12 to 16 weeks. Adding order entry, allocation, shortage workflow, pick and load and accounting integration takes it to $150,000 to $260,000 over 6 to 9 months. A full multi site platform with crop planning, environmental integration, phytosanitary compliance and several trading partners runs $260,000 to $400,000 over 9 to 12 months.
Then the escalators, which are predictable. EDI is $15,000 to $30,000 per trading partner with six to ten weeks of certification calendar you do not control. Multi site with different physical models adds 20 to 30 percent. Offline mobile adds 15 to 20 percent over a connected only build and is not optional. Migrating crop history out of SBI or Picas is three to five weeks on its own, more if naming was maintained loosely.
Running cost is 15 to 20 percent of build a year for support and change, a few hundred dollars a month for hosting, plus rugged device replacement, which is not software spend but belongs in the same business case.
What does the hybrid look like, and when is it the honest answer?
Buy the platform, build the thin layer you actually need. Fewer vendors propose it because it is less profitable to sell, and it is the right answer for more growers than either pure option.
Concretely: keep SBI or Picas as the order and financial backbone if it works there, keep QuickBooks or Sage for accounting, and build only the grower facing layer on top. That layer is offline mobile counting with two scan moves, availability as a live ledger with a per customer feed, and structured write off capture joined to your environmental and irrigation history. Everything else stays where it is and you integrate.
The arithmetic is what makes the case. Take a grower shipping about $22 million across two sites, roughly 600 SKUs, two big box programs and QuickBooks on finance. The full build for that operation prices near $257,000. Drop the EDI work and it is $213,000. Run it as the hybrid and it is $122,000, inside the first release band, shipping in a quarter rather than a year, and aimed at the number you currently cannot see.
The hybrid is the honest answer when your incumbent is genuinely fine at orders and finance and genuinely poor in the houses, which describes most installations we walk into. It is the wrong answer when the incumbent cannot represent your locations at all, or when its export is so limited that keeping two systems in step costs more than replacing one. Test that in week one: ask for the schema and a sample export before you commit to anything.
Which should you choose, by operator size and stage?
Under $5 million, single site. Buy. SBI or Picas, or the QuickBooks based package if your SKU count is genuinely small. Spend the money instead on counting discipline, durable bench tags and one person who owns the availability list. You will get more out of that than out of any build.
$5 million to $15 million, single site, growing. Still buy, but start behaving as though you will build later. Insist on a clean export of crop cycle history now, keep SKU and variety naming consistent, and record shrink with a cause even if the field is only a free text note. Those three habits cost nothing and cut three to five weeks off a migration you may run in three years.
$15 million to $40 million, multi site or carrying retail programs. This is hybrid territory and it is where most of our greenhouse work sits. Keep the incumbent, build the grower facing layer at $60,000 to $130,000, prove it through one full season, then decide whether to extend into orders and allocation. Do not commit to a full platform before you have run a real parallel season.
Above $40 million, multi site, several programs. A full platform at $150,000 to $400,000 is defensible, phased over 6 to 12 months, never as a single cutover. Sequence it around your season: build in summer, train in autumn, go live in winter, run parallel through spring, and freeze deploys entirely through your peak nine weeks. Any vendor willing to ship code in week 12 of a March to May season has not delivered in this sector.
When you are ready to turn this into a specification, Digital Heroes builds and runs its own products, so the people choosing your architecture live with those decisions on their own revenue. Nothing about that commits you to the build.
The evidence behind this guide
Independent findings on why this investment pays off. Every link goes to the primary source.
- Inventory carrying cost commonly runs about 20% to 30% of inventory value, covering capital cost, storage/warehousing, insurance, taxes, handling, shrinkage, and obsolescence - a recurring cost that better inventory and warehouse software aims to reduce. Source: APQC (2023) →
- 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) →
- SHRM's 2025 benchmarking data puts the average cost-per-hire at $5,475 for nonexecutive roles and $35,879 for executive roles - executive hires are on average nearly 7x more expensive than nonexecutive hires. Source: SHRM (Society for Human Resource Management) (2025) →
- Nucleus Research's analysis of published analytics deployment case studies found business intelligence and analytics returned an average of $13.01 in benefits for every dollar spent, up from $10.66 three years earlier. Source: Nucleus Research (2014) →
Frequently asked questions
What does it actually cost to switch off SBI Software or Picas?
The visible cost is migration, three to five weeks as its own workstream, more if botanical names and size conventions were maintained loosely over a decade. The crop cycle history is the part worth the effort, because stick dates, actual ready dates and yields are what any finish date forecast trains on.
The hidden cost is a parallel season. Plan a full season running both systems before you retire the old one, which means people time rather than licence spend. That is the main reason the hybrid appeals: you never switch off the incumbent, so you never pay the switching cost at all.
What happens if our vendor changes pricing or the licence model after we commit?
That risk is real for any packaged product and the way to manage it is contractual rather than emotional. Before renewal, get the per seat cost of adding mobile access for every grower and pick crew member, the cost of adding a trading partner, and the cost of a change to allocation logic. Those three numbers tell you what the next five years cost if nothing changes in your favour.
The practical defence is data portability. Ask now for a documented schema and a clean export of crop, lot and cycle history. A grower who can leave has bargaining power at renewal. A grower whose ten years of history is only readable inside one product does not.
How long before a custom availability system is actually live in the houses?
Twelve to sixteen weeks of build for a focused inventory and availability release, then a full season of parallel running before you retire anything. In practice that means build in summer, train in autumn, go live in winter and run parallel through spring.
Freeze deploys entirely through your peak nine weeks. Most of the year's revenue lands in that window, and a vendor willing to push changes inside it does not understand the business they are quoting for.
Is a custom build better than Agriware on Dynamics 365 for a multi site group?
Not automatically. Agriware brings a full enterprise resource planning stack, which is genuinely useful if you also want finance, purchasing and manufacturing in one place, and it is a serious option for larger horticultural groups. The question to press is how far down your location hierarchy it models, and what a change to allocation logic costs and takes.
Where builds tend to win is the grower facing edge: offline bench counting, lot splits with grade outs, and shrink attribution down to a bay and a crop week. If that is where your pain is, the sensible comparison is Agriware plus a thin custom layer against a full custom platform, not Agriware against nothing.
Can we start with one piece and add the rest later?
Yes, and it is the sequence we recommend. The first release is bench level inventory with offline counting, live availability and structured shrink capture at $60,000 to $130,000. Orders, allocation and pick and load come second. EDI comes last, because certification runs on the retailer's calendar.
Roughly 12 percent of total spend goes into discovery, 45 percent into the grower facing release, 28 percent into orders, allocation and EDI, and 15 percent into migration, training and parallel running. Staging that way means you can stop after stage one if the numbers stop making sense.
Why does electronic data interchange with a big box program cost so much?
Budget $15,000 to $30,000 per trading partner. Each chain has its own 850, 856 and 810 specification plus its own labelling and pallet requirements, and certification takes six to ten weeks of calendar you do not control.
Start with the two partners carrying the heaviest fill rate penalties and leave the rest until the order and allocation model has survived one real certification. Adding partners later is cheaper than adding them all at once, because the second one reuses most of the first one's plumbing.
Will our growers and pick crew actually use a mobile app in the greenhouses?
Only if it works offline and takes under fifteen seconds per bench. Concrete, steel and wet plastic sit between your crew and the access point, so anything requiring live connectivity at the bench gets abandoned in week two whether you built it or bought it.
Offline capability adds 15 to 20 percent over a connected only build because sync conflicts, local caching and partial failure all have to be designed. Two scan moves and a walk order pick list are what earn adoption, not training sessions.
Do we own the code and the database if an agency builds this?
You should, and it belongs in the contract before the first invoice: full source code ownership, a documented database schema handover and access to your own hosting accounts. If a vendor wants to keep the code and licence it back, you are buying another packaged tool at a bespoke price.
The same test applies to the incumbent you are leaving. Ask what an export of your crop, lot and shrink history looks like, in what format, and how long it takes. That answer tells you what your position will be at the next renewal.
Who owns the code when an agency builds my inventory system?
You should, in full, with intellectual property assignment written into the contract before any payment is made. Insist on the code transferring to a repository you control no later than final payment, plus hosting and domain accounts in your own name. If an agency offers to license you their platform instead of assigning the code, you are buying another Cin7 with fewer features.
How do I vet a software agency for an inventory project specifically?
Ask three technical questions before discussing price: how they stop two simultaneous orders claiming the same last unit, whether stock is stored as an append-only movement ledger or a single overwritable quantity field, and how they test channel sync under load before launch. A team that answers fluently has built inventory systems before; one that steers the conversation to screens and design has not. Then ask for a reference from a client whose system has survived at least one peak season.
Should I hire a freelancer or an agency to build my inventory system?
For a simple single-user stock tracker, a strong freelancer works and costs roughly half as much. Once real revenue flows through the system, choose an agency, because inventory software fails in production rather than in the demo, and a solo developer is a single point of failure during your busiest week. The most expensive engagements Digital Heroes takes on are rescues of freelancer builds after an oversell incident.
How many SKUs are too many for managing inventory in Excel or Google Sheets?
Excel and Google Sheets typically start failing past roughly 1,000 SKUs, more than one sales channel, or more than two or three people editing stock levels. The failure mode is not the row count but stale, conflicting edits that cause oversells and phantom stock. If someone on your team spends hours each week reconciling the sheet against the shelf, you have already outgrown it.
Does it matter which tech stack the agency wants to use?
Yes, but not in the way most buyers expect: the goal is boring, popular technology such as React, Node.js or Python, and PostgreSQL, because any future team can maintain it and hiring a replacement developer takes days, not months. The red flag is an agency-proprietary framework or an unusual language, which welds you to that one vendor no matter what your contract says about code ownership. A useful test: could you find three freelancers fluent in this stack within a week? If not, push back.
How does custom software stop us overselling across multiple sales channels?
By keeping one authoritative count per SKU and recording every change as an atomic movement, so two orders can never both claim the last unit. Channel integrations sync through a queue with idempotency checks, meaning a webhook that fires twice does not subtract stock twice. Ask any vendor to demonstrate concurrent orders against a single unit of stock; naive builds and generic connectors both fail that test.
How much does custom inventory management software cost for a small business?
A single-location system with receiving, stock movements, and barcode scanning typically runs $15,000 to $40,000, based on Digital Heroes delivery experience across 2,000+ projects. Multi-warehouse, multi-channel builds land between $40,000 and $120,000, and manufacturing or forecasting features push past that. The biggest cost driver is logic rather than screens: lot tracking, unit conversions, and channel sync each add real engineering time.
Should we start with an MVP or build the full inventory system in one go?
Start with a minimum viable product covering the single most painful workflow, usually receiving, movements, and scanning for one location, then extend in phases. In Digital Heroes delivery experience, phased builds put a working system on the warehouse floor in 8 to 12 weeks and let real feedback shape phase two, while big-bang builds routinely ship features nobody uses. Phasing also spreads the budget across quarters instead of demanding it all up front.
We already use Fishbowl. When does replacing it with custom software make sense?
Replace Fishbowl when you are paying for workarounds: manual exports to cover missing reports, third-party connectors patching integration gaps, or processes bent to fit its QuickBooks-centric model. Fishbowl remains a solid choice for QuickBooks-linked manufacturing inventory, so if it fits your workflow, keep it. Custom wins when your process is the differentiator, for example serialized rentals, consignment stock, or a picking flow Fishbowl cannot model.
Can custom inventory software connect to QuickBooks, Shopify, and Amazon?
Yes, and integrations are where custom usually beats off-the-shelf, because they are built to your exact field mapping instead of a connector's assumptions. A typical build syncs orders and stock with Shopify and Amazon in near real time and pushes purchase and cost of goods sold data to QuickBooks or Xero on your accounting schedule. Each production-grade integration adds roughly $3,000 to $8,000 in Digital Heroes builds, so list every system during scoping.
Who can build a custom inventory management software system?
Digital Heroes builds custom inventory management 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 inventory management 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.
Related guides
Published · Last updated .