A dispatcher at a five truck roll-off company makes about forty decisions before ten in the morning. Which truck takes the swap on the north side. Whether the 30 yard at the roofing job can wait until Thursday. Which landfill to send the heavy load to when the closer one charges $22 more a ton. Software either helps with those forty decisions or it just records them afterward.
Docket and Dumpster Controls both help, in different places. Everything below can be checked by a stranger: our price is on a public page, our API specification is machine readable before you create an account, our landfill data is openly licensed, and every claim about Docket links to their own page with the date we read it.
Two philosophies, not two feature lists
Docket has grown into something close to a waste management ERP. Roll-off, junk removal, commercial front-load, residential curbside, recurring routes, asset management, accounting integrations, fleet telematics, route optimization and online ordering, all in one system. For a company running several service lines, that breadth is the product.
We went the other way. Dumpster Controls is built around one chain, tightly connected: order, container, dispatch, driver, landfill, invoice, payment, profit, network. Instead of covering every waste vertical first, we connected those objects and then laid two things across them: an AI that operates the platform, and a marketplace where haulers trade work.
IronRouteAI is a routing optimizer. Tresha is an AI operations layer. That single sentence explains most of the differences below.
| Dumpster Controls | Docket | |
|---|---|---|
| Roll-off management | Yes | Yes |
| Junk removal | Yes | Yes |
| Commercial front-load routes | Not a current focus | Yes |
| Residential curbside routes | Not a current focus | Yes |
| AI route optimization | Tresha route suggestions | IronRouteAI (Pro Plus) |
| AI operations assistant | Tresha: creates orders, dispatches, closes landfill runs | Routing focused |
| Create an order by prompt or voice | Yes, with a confirmation card | Not documented |
| Dispatch and reroute by prompt | Yes | Not documented |
| Live re-routing during the day | Yes | Day and driver optimization |
| Container lifecycle tracking | Yes, serial level | Yes, with PIN and QR field updates |
| Landfill database and tipping intelligence | 2,911+ facilities, open data | Configured dump sites feed the optimizer |
| Hauler marketplace | Dumpster Net Hub, no marketplace fee | Broker tools and Dumpsters.com |
| QuickBooks Online | Yes, one way DC to QBO | Yes, established, Docket as source of truth |
| Fleet telematics (Samsara, Verizon) | Not integrated | Yes, on higher plans |
| Public API | Yes, v1 read endpoints with approved keys | Outbound webhooks, one endpoint documented |
| Software subscription | $0 | Quote based, demo required |
Docket and ServiceCore published documentation, and the Dumpster Controls codebase · Checked August 23, 2026
Where we are structurally different
Landfill economics as a first class object
Both systems know disposal costs matter; theirs feeds configured dump sites into the optimizer. We went further and made it a public database: 2,911 facilities with addresses, hours, accepted waste and, where verified against official sources, the published tipping fee per ton or per cubic yard. It is open under CC BY 4.0, so anyone can use it, including their customers. See it in the Landfill Finder or in the numbers we publish monthly in the market data index.
The operational consequence is that a specific order connects to its actual disposal event and cost, so the question stops being "was this invoice paid" and becomes "did this rental make money after the dump."
A network, not just a system of record
Most hauling software is company shaped: your customers, your cans, your trucks, in your database. Dumpster Net Hub lets operators pass overflow work to each other inside the platform, with no marketplace fee on either side. Docket has broker tools and a Dumpsters.com integration, which is a different model: it connects you to a broker rather than to other haulers directly.
An open platform, not a roadmap
Docket ships outbound webhooks; their documentation describes one endpoint per account with completion events as the documented triggers. They also have the larger catalog of prebuilt connectors, and that is a real advantage if your tools are on their list.
We went the other way, and it is live rather than planned: a public v1 API with approved keys, per company gating and rate limiting, documented at /developers. The distinction is between a catalog someone else curates and a platform you can program. It matters most when you want your own website, your own dashboard, a call center tool, or an outside AI agent reaching your data directly.
That is where Tresha comes in, covered further down. Ours is the native agent; the API is the door for everyone else's agents. As AI stops being one feature and becomes several tools a company runs at once, a closed platform means waiting for your vendor to build each connection.
The cost question, properly framed
The right calculation is not the monthly line. It is subscription plus implementation plus add-ons plus per driver expansion plus transaction costs plus the labor of running it. Docket sells three tiers, does not publish the amounts, and driver count can affect the contracted price. IronRouteAI requires the top tier.
Ours is free to start, with no demo and no card, and it stays free as you add trucks and drivers. We earn on card processing when a customer pays by card, and an optional paid plan lowers that rate for high volume operators. The full detail is on the pricing page.
The real question is not whether $500 a month is affordable. It is whether your software bill should grow because you hired a driver.
Agentic operations: the difference that is hard to copy
IronRouteAI computes a plan. Tresha performs work. That is not a slogan, it is a difference in what the software lets you do with a sentence.
In Dumpster Controls you can say, out loud or in chat, "create a 20 yard for Maple Street tomorrow" and the order is built slot by slot, with a confirmation card before anything is written. You can complete a delivery, a pickup or a landfill run the same way. You can ask what was billed this week. Route suggestions arrive with an estimated saving that applies with one tap and undoes with another.
The architecture is natural language to intent to operational context to an authorized action inside the system. For an owner who is in a truck or a yard rather than at a desk, voice stops being a convenience and becomes the interface. We found no equivalent documented on Docket's product pages, where the AI is presented as route optimization.
QuickBooks: no longer their exclusive ground
This page used to concede accounting outright. That is now out of date on both sides. Docket has an established and well documented QuickBooks Online workflow, and by their own description it is primarily one direction, with Docket as the source of truth: customers, invoices, payments and expenses are pushed to QuickBooks, and changes made in QuickBooks do not generally flow back.
Ours ships too, and is also one way, from Dumpster Controls into QuickBooks Online. So the honest framing is not "they have it and we do not". It is: both integrate, compare the sync model, the objects covered and the reconciliation workflow, because those differ more than the checkbox does.
Routing: give Docket its due
IronRouteAI is not a shortest path calculator. Per Docket's own documentation, it runs a cost minimization model across a very large number of route combinations, weighing dump site costs, vehicle cost per mile, driver hours, capacity, workload balance, task priority, geographic clustering, time of day traffic and commercial vehicle road restrictions. It can optimize a whole fleet or a single driver, and it returns route analytics on coverage, distance, cost and balance.
That is a strong system, and it sits on their Pro Plus tier. Any page telling you our routing beats theirs on raw optimization is selling you something. Ours suggests routes with an understanding of the roll-off cycle: an empty truck, a full can, a swap chain, the landfill run in the middle. It is good, and it is not the same category of engineering.
What we built instead
Tresha is not primarily a route builder. It is how you operate the platform. You can create a delivery order or a junk removal job from a conversation, complete a delivery, pickup or landfill run by chat or voice behind a confirmation card, ask what revenue looked like last week, and get a route suggestion with an estimated saving that you apply with one tap or undo.
The distinction that matters: optimization happens before the trucks leave. Operations happen all day. A customer calls at 10:20 with a paid booking, a driver runs late, a container is not where the board says it is. Our bet is that the system should absorb those events as they land, rather than making a dispatcher rebuild the morning.
Where Docket is stronger, plainly
A comparison where one side wins every line is an advertisement. Here are the places where a careful buyer should choose them.
Mixed waste operations. Front-load commercial and residential curbside routes are first class in Docket and are not a current focus for us. If a meaningful share of your revenue is recurring route work, that is decisive, and nothing else on this page outweighs it.
Multidimensional pricing. Their Pricing Matrix combines size, duration, state, ZIP, city, county, mileage, customer type, material, task type, included weight, overweight rates, fuel surcharge, delivery charges, failed task fees and internal cost inputs. If your pricing genuinely needs that many axes, we are the simpler tool, and simpler is not always what you want.
Fleet telematics. Samsara and Verizon Connect integrations on higher plans. If your trucks already run on those, that is real and we have nothing equivalent.
Assisted onboarding. They put a team on your migration and training, including people who have run hauling operations. A twenty truck company moving off spreadsheets often needs exactly that, and paying for it is a rational decision.
How to choose
Choose Dumpster Controls if roll-off or junk removal is the core of your business, if you want AI you can talk to across the whole workflow instead of only at route building, if landfill economics and per order profit matter to how you price, if you want to buy and sell overflow work inside your software, if you want a published API your own tools can reach, or if you would rather not carry a software subscription at all. For most independent roll-off companies that is the list, and testing it costs nothing and needs no call.
Choose Docket if you run meaningful commercial front-load or residential curbside routes, if your pricing needs a genuinely multidimensional matrix, if batch route cost optimization is the single most valuable thing software can do for you, if you are standardized on Samsara or Verizon Connect, or if you want a team to run your migration.
The question stopped being which platform has more features. It is what kind of operating system you want your company running on for the next five years. You can try ours tonight without talking to anyone, which at minimum makes the comparison cheap to run yourself.