Coffee Roastery Management Software
Roastery software for green lots, roast batches and true cost per bag.
Your roastery tracks green coffee in one spreadsheet, roast batches in another, and wholesale orders somewhere else again. We turn roasting production into one owned system, so green lots, roast loss, bagged stock, orders and cost per bag stop drifting apart.
Bring one stuck roastery workflow. Leave with a build, buy, repair, or wait recommendation.
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The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Every roast changes green stock, roasted stock and cost at the same time, and doing that by hand is where the numbers drift.
Green coffee still lives in spreadsheets, so nobody trusts the stock count when a wholesale order needs promising.
The bag price is set from habit or a neighbour price, not from what the lot actually cost after weight loss and packaging.
Plain answer
Coffee roastery management software runs roasting production in one system: green lots with landed cost, roast batches with weight loss, roasted and bagged stock, wholesale and subscription orders, and cost per roasted bag. One roast updates green stock, roasted stock, and cost at the same time, so the numbers stay accurate without spreadsheet reconciliation.
What to remember
- Use this when roasting production keeps repeating and the patched tools cost more in staff time, errors and wrong prices than owning the fix.
- The first release should complete one useful production path, not collect disconnected features.
- One roast must update green stock, roasted stock and cost together, or the numbers drift.
- Quote the roastery team's own screens as their own scope: lot receiving, roast logging, bagging, order picking, refunds, user management, and stock history are a second product, not a single admin-panel line.
- Hire freelancers for one small, well-defined task; use one accountable agency party when the work needs coordination across screens, rules, data, and connections.
The first decision is not what to build.
It is whether software is the right answer at all. We use four possible recommendations before discussing a development scope.
- 01
Buy
Choose a maintained roastery product when it handles green lots, roast batches, bagging and orders and the remaining gaps can be solved with configuration, a connector, or a small process change. Paying for software you do not have to maintain is often the better trade.
- 02
Repair
Keep the existing product when staff still get value from it and the data can be understood safely. Start with evidence: where the data lives, how it is organized, what is tested, which outside services it depends on, who can access what, and how updates go live.
- 03
Build
Own the system when the production workflow shapes margin, wholesale reliability, or a product customers pay for. Start with one complete path and the system connections that path cannot work without.
- 04
Wait
Do not turn a changing production rule into permanent software. Stabilise the rules, name the workflow owner, and measure the cost of the current process before paying for a product.
Not sure which path is yours? Bring it to a 30-minute call. Leave with the answer in writing.
Fit
Roastery software should earn its maintenance burden.
A feature request is not enough. The case is real when the same constraint shows up in time, errors, margin, or wholesale reliability.
A repeatable production workflow crosses lots, batches, bagging and orders and creates measurable delay, error, or labour.
A proprietary blend, wholesale model, or bag and subscription range matters to the business.
The roastery can name a workflow owner and what 'done' looks like for the first release.
A maintained roastery product fits with reasonable configuration and process change.
The team wants software to settle an unresolved production or pricing policy.
The brief is a feature list with no user, transaction, or business result attached.
Not sure which side you are on? Use the first call to make that decision. A useful answer may be to buy, connect, repair, or wait.
Start with the production floor, not the software.
A roastery problem usually starts as a production problem. The roaster logs a batch in one place. The packer counts bags in another. The person answering wholesale email promises stock from a third list. On Monday someone reconciles all three, and the numbers never quite agree. The key question is whether that friction repeats, can be measured, and costs enough to justify owning the fix.
Take a roastery selling the same coffee three ways: wholesale accounts, subscriptions, and bags from its own counter. The visible complaint may be "we need a better spreadsheet." The real cost may sit elsewhere. Nobody can say what a bag actually cost, because the lot price, the weight lost in the roast, and the packaging were never joined up. A wholesale price set last year quietly stops covering a lot that cost more this year. A blend runs out midweek because the component lot nobody watched ran dry.
A second product hides inside the first. Customers see a bag; your team lives in another system: receiving lots, logging roasts, bagging, picking orders, managing users, and a record of who did what. Quotes that squeeze all of that into an "admin panel" line item are where budgets most often break. On a real platform, your team's screens are routinely the most underestimated part of the work, so we quote them as their own job, with their own users, from the start.
Roastery software makes sense when one owned system can remove that constraint better than a product, connector, or process change. The first release should take the smallest useful path from green lot to bagged stock. It should not replace every tool at once.
We start where it hurts.
The interface is only one part of the job. The real scope includes the rules, the data, the connections to your other systems, what happens when things fail, who can see and change what, and who runs it after release.
Green lots that stay honest
Receive each lot with origin, supplier, quantity and landed cost. Every roast draws the lot down, so the shelf count and the cost base move together instead of drifting apart between counts.
Roast batches with the loss recorded
Log what went in and what came out for every batch. Weight loss is accounted for on the batch, so roasted stock and bag cost reflect what was actually produced.
A roast plan built from orders
See what is on hand, what can be bagged, which lots run out first, and which orders are still unfilled. Roast what the orders need, in the order they need it.
One stock pool for every channel
Wholesale, subscription and counter sales draw on the same bagged stock. A bag promised once cannot be promised twice.
Traceability without the inbox search
Lot numbers carry from receiving through each roast to the orders that shipped those bags. A quality question becomes one lookup, not an afternoon in email.
Which one is yours?
Bring it to a 30-minute call. Leave with a build, buy, repair, or wait recommendation in writing. Free, whether or not we ever work together.
Production
The production record, end to end.
Some records only exist in a roastery. The same rules apply: configure first, build only the part the maintained products cannot cover, and start with one complete path.
Green lots and landed cost
One lot record from arrival to last roast: origin, supplier, quantity, landed cost, and remaining weight. A new lot at a new price changes later bag costs without rewriting history. Staff see what is getting low before it becomes a production problem.
Roast batches and weight loss
One batch record from green in to roasted out: lots used, green weight, roasted weight, loss, and batch cost. The profiler still owns the curve; this record owns the production facts around it, including cupping notes tied to the batch where the roastery wants them.
Blends without hidden averages
A blend is a recipe with proportions. Each roast draws every component lot by its share, so blend cost follows the lots actually used. When a component runs low, the system shows every blend it feeds.
Bagging, packaging and SKUs
Roasted stock becomes bagged stock by size and product: bag, label, valve, and box counted against the batch it came from. Staff see what can be bagged now and what packaging runs out first, so a missing label does not stall a wholesale dispatch.
Orders, picking and dispatch
Wholesale terms, subscription schedules and counter sales in one order list, picked against the same stock pool. Packing a wholesale order reduces bagged stock immediately, and the order record keeps the lots behind the bags it shipped.
Which roastery workflow is costing you the most right now?
Bring it to a 30-minute call. Leave with a build, buy, repair, or wait recommendation in writing. Free, whether or not we ever work together.
Let the work pick the shape.
The way people work should decide the form of the software. Start with where the user works, which device they have, whether the signal drops, what data they need, and how fast the system must respond. Those facts tell us what belongs in the first release.
Web app
Work done across roles and locations. Each user gets the same current information in a browser: no installs, no versions, no device limits. When in doubt, this is usually the right first surface.
Mobile app
Work away from a desk: roast logging at the roaster, bag counts in the packing area, stock checks in the warehouse, and alerts when a lot runs low.
Desktop app
A roastery office machine uses local hardware and large files and keeps working without a browser.
Browser extension
One task lives inside a system that otherwise works, so staff check an order without leaving the tool they already use.
Connected devices
Roastery floor displays and packing screens serve the physical setting, so the team sees what to roast and bag next without asking at the desk.
One product may need several surfaces. Each one should support the same complete workflow, not start another feature list.
How it works
Close one expensive risk before opening the next.
Each stage answers a buyer question and leaves behind a decision you can inspect. The next stage only opens when the expensive uncertainty in the current one is small enough to accept.
- 01Understand
Trace the real production workflow
Where is the cost or failure actually coming from?
Follow one lot and one wholesale order from start to finish. Include the workarounds, manual judgement, duplicate entry, waiting, and failure paths that a tidy process diagram usually misses: the lot counted twice, the batch logged late, the bag promised to two customers.
Decision produced
A map of the workflow, exceptions, owners, systems, and the baseline cost or delay worth changing.Risk closed
Paying to automate the visible symptom while the expensive constraint remains. - 02Shape
Choose the first useful release
What needs to exist together for one useful result to work?
Choose the shape from the way the work happens, not from a preferred technology. Name the user, the device, the data, the system connections, who can access what, the exceptions, and the result the first release must complete.
Decision produced
The right mix of web, mobile, desktop, browser extension, connected device, wearable, or behind-the-scenes connection work, with the first-release boundary and a clear definition of done.Risk closed
A small-looking feature list that quietly depends on several interfaces, systems, and owners. - 03Prove
Review working software
Will it hold up outside a controlled demo?
Review the product against the agreed workflow, not a tour of finished screens. Record changed assumptions and test what happens when data is missing, access is wrong, or a connected system fails. Run a real roast week through it, from receiving to dispatch, before it goes live.
Decision produced
Working checkpoints tested with realistic data, real user types, system connections, recovery plans, and the people who will use or run the system.Risk closed
Discovering the important gaps during migration or after customers depend on the release. - 04Transfer
Release, measure, and hand over
Did the new workflow improve the original constraint, and can another capable team operate it?
Move a controlled set of lots or orders first. Compare staff time, errors, completion, or another agreed measure with the starting point before adding the next workflow. The handover package carries documentation, test suites, and deployment runbooks, so another capable team can take over.
Decision produced
A controlled release, comparison with the baseline, operating notes, account ownership map, and a recommendation for what should happen next.Risk closed
Measuring development activity instead of the business result, or depending on the original vendor to keep the system running.
What stays out of the black box
These are operating conditions to put in the engagement, not claims to take on faith.
The scope names one complete workflow
The user, the trigger, the decisions, the data, the exceptions, and what 'done' looks like. A screen list is not enough.
Progress is visible in working software
Reviews against the product at agreed checkpoints, while there is still time to act.
A scope change has a price before it has code
A new workflow or system connection shows its effect on cost and timing before anyone approves it.
Ownership exists throughout, not only at handover
Code, cloud, data, and provider access stay visible and under your control from day one.
The work is checkable without being technical
Checkpoints are working software you use yourself, reported in plain language. You check a roast, a bag cost, and an order against your roastery, not against a technical report.
Roastery software by related service.
Start from the part of the operation you need. Each area below is a working practice with shipped products behind it.
What it costs
Every project starts at $10000.
The first phase turns the costliest patched roastery workflow into a scoped build with what 'done' looks like in writing.
Starting investment
Starts at $10000
Workflow complexity, systems to connect, data migration, and user roles set the scope. After a 30-minute call, you get a written build, buy, repair, or wait recommendation plus first-phase direction. Free, whether or not you build with us.
Not ready to talk? Start here.
Four useful next paths: decide whether to own the software, estimate the cost range, understand what moves the price, or inspect a comparable service.
See custom software development
How a first release is scoped, priced, and handed over. The same fixed-price, milestone-based approach applies to roastery software.
See web application development
The most common surface for a roastery system: one current record for the roaster, the packer, and the person answering wholesale email.
See mobile app development
The roastery floor surface: roast logging, bag counts, and stock checks on a phone, away from the desk.
See MVP development
The first useful release path: green lot to bagged stock working end to end before the next workflow is added.
Buy or own
| Buy an existing product | Own custom software | |
|---|---|---|
| Best fit | Handles your green lots, roast batches, bagging and orders with reasonable setup, and its pricing makes sense | The way your roastery works is itself the advantage |
| Manual work | Configuration and process changes can remove the constraint | Repeated manual work has a measurable cost |
| Connections | Existing connections work with reasonable setup | A critical connection to your other systems cannot be done cleanly any other way |
| Platform route | Configure an established roastery product when its lot, batch, bagging and order model fits | Own custom software only when the differentiating blend, wholesale, subscription, or cost of constraint justifies build and support |
Work with us
Bring one stuck roastery workflow. Leave with a decision.
In a 30-minute call, we will help you decide whether to buy, connect, repair, build, or wait. If custom software is not the sensible next move, that is still a useful answer.
- One named workflow owner and one complete path for the first phase.
- Scope, price, what 'done' looks like, and exclusions agreed before paid work starts.
- Code, cloud, data, and provider access remain under your control.
- Post-launch warranty cover for defects in the agreed scope.
Common questions
Coffee roastery management software runs roasting production in one system: green lots with landed cost, roast batches with weight loss, roasted and bagged stock, wholesale and subscription orders, and cost per roasted bag. It makes sense when production keeps repeating and the patched tools cost more in staff time, errors and wrong prices than owning the fix. This page covers roasting production only, not cafe retail: seating, cafe menus and counter service belong to cafe operations, and appear here only where a roastery sells its own roasted coffee.
Buy an existing product when it handles your green lots, roast batches, bagging and orders with reasonable setup and its pricing makes sense. Have software made when the way your roastery works is itself the advantage: your blend rules, your wholesale terms, your bag sizes, your subscription logic, or a connection to your other systems that cannot be done cleanly any other way. If your production rules are still changing every week, wait and settle them first.
The first release should complete one useful production path from start to finish, not collect disconnected features. For most roasteries that path is green lot receiving plus roast logging plus bagged stock: a lot lands, roasts draw it down, weight loss is recorded, and bagged stock goes up by the amount actually produced. Wholesale orders and costing join once that path works. The scope names the workflow, what done looks like, the price, and the exclusions, all before paid work starts.
Each green lot is recorded when it lands: origin, supplier, quantity, and landed cost, meaning bean price plus freight and duty. That landed cost is the number every later cost is built from. Every roast draws down the lots it used, so the shelf count, the remaining lot quantity, and the cost base all move together. Low lots surface before they become a production problem, and a new lot at a different landed price changes later bag costs without rewriting history.
Roasting loses weight, mostly moisture, so roasted coffee always weighs less than the green coffee that went in. The system records what went in and what came out for every batch, and the weight lost is accounted for rather than quietly ignored. That matters because cost per roasted bag must be built from roasted weight, not green weight: ignoring the loss understates cost on every bag and makes margins look better than they are.
Cost per bag starts from what was actually paid for the lot, adjusted for the weight lost in the roast, plus packaging, labels, and any other production costs the roastery chooses to include. Because each batch knows which lots it drew on, a bag costed from a new lot at a new landed price reflects that lot, not an old average. The same cost record feeds wholesale pricing, so a price change in green coffee shows up in bag cost before it shows up as a surprise in the accounts.
Set wholesale prices from your own costs, not from what another roaster charges. A neighbour price has no connection to your lots, your weight loss, your packaging, or your overhead, so copying it cannot tell you whether a bag makes money. The sounder method starts with the full cost of the bag, including the operating costs of running the roastery, and then applies the margin the business needs. The system supplies the cost side of that calculation; the roastery sets the price policy.
No. The profiling tool stays in charge of the roast itself: the curve, the heat, the first crack, and the development time. Roastery management software handles the production information around the roast: which lots were used, how much went in and came out, what the batch cost, where the roasted coffee went, and what needs roasting next. The two work side by side, and a connection between them is scoped only where the profiler offers suitable access.
A blend is a recipe with proportions, not a single lot. The roast draws each component lot down by its share, so green stock, roasted stock and cost all stay correct across every lot in the blend. If a component lot runs low, the system shows which blends it feeds before production stalls. Blend costs follow the lots actually used, so swapping a component changes the blend cost visibly instead of hiding inside an average.
Scheduling starts from orders and stock, not from guesswork. The system shows what is on hand, what can be bagged from roasted stock, which green lots run out first, and what wholesale and subscription orders are still unfilled. The roast plan follows from that: roast what the orders need, bag what the roast produced, and reorder the lots that will run out before the next delivery can land. One shared plan replaces the separate lists the roaster, the packer, and the person answering wholesale emails each keep.
They draw on the same roasted and bagged stock, so a bag promised to a wholesale account cannot also be promised to a subscriber. Wholesale orders carry their own terms and pack sizes, subscriptions repeat on their own schedule, and retail bags sold from the roastery counter come out of the same pool. Staff see one view of what is available, what is committed, and what still needs roasting or bagging, instead of reconciling three order lists.
Yes, when lot numbers are recorded at receiving and carried through each roast to the orders that shipped those bags. That chain answers the question a wholesale customer or a quality problem asks: which lot, which roast batch, and which orders. It also matters for quality: when a roast tastes off, the roaster can see every other batch from the same lot instead of searching inboxes and notebooks.
Moving your data over is scoped as its own job, not assumed. We agree which lists move: green lots, suppliers, roast history, products, bag sizes, and customers. Messy lists are cleaned with the roastery, duplicates are resolved by staff, and the moved data is checked against the old lists before the old tools are retired. A spreadsheet that nobody trusts is not moved as it is; it is fixed first. Roast curves stay with the profiling tool; the production record around them moves into the new system.
For a small, well-defined task with someone technical managing it, freelancers are often cheaper. The pattern that goes wrong is a non-technical buyer coordinating several freelancers becoming the project manager, the tester, and the person who discovers the pieces do not fit. A software company earns its fee when the work needs coordination across screens, rules, data, and connections: one accountable party, one phase price, and checkpoints against the whole production workflow. If your need is one screen or one fix, hire the freelancer.
You judge what you can see, not the code. Every checkpoint is working software you click through yourself, tested against the production workflow agreed at the start: receive a lot, log a roast, bag the batch, fulfil a wholesale order, and read the cost per bag. Progress is reported in plain language: what changed, what is next, and what it costs. Because you own the code, the accounts, and the operating notes throughout, nothing about the work is locked inside our heads. Our job is to make the work checkable; your job is to check it against your roastery.
You own the code made for you and control where it lives, the cloud accounts, the data, analytics, and third-party subscriptions. Outside services and open-source pieces keep their own licence terms. The operating notes and handover material stay current so another capable team can take over.
Every launch includes post-launch warranty cover for defects in the agreed scope, release support, and small screen corrections. After that, work can continue as another fixed phase or an ongoing product engagement. The code and accounts stay under your control either way.