Selling scales the moment you turn on spend. Inventory, logistics, receivables and reporting don't — and that gap is where growth turns into chaos. Kanvas agents give the back of the house the capacity to match the front: live answers, work drafted for approval, and your team back on the calls only they can make.
Trusted by
01Where it lags
Nobody on your team is underperforming. They're outrun by the volume the front of the house keeps sending back — and every one of these gets worse the faster you grow.
02Ask, then act
The work doesn't wait for someone to free up. Ask in plain language and get the answer from live data — with the action already drafted, waiting on your approval. Three of the conversations that happen every week:
How many units of SKU-2841 should go on next month's PO?
Pulling your position and the demand curve:
That puts the order at 2,830 units. It carries you through Oct 4 and still leaves 23 days of cover when the following PO lands. Order 2,000 and you're short the last week of September.
Proposed: draft the PO to Sunfield at 2,830 units → Approve?Approve.
PO drafted in your ERP · supplier emailed · ETA logged against the forecast · reorder point updated
The reorder question that normally costs a morning of tab-switching between the warehouse sheet, the shipping folder and last year's numbers.
03The agents
Not a faceless automation — a roster, modeled on the agent fleet we run in production at NZXT. Each one carries a job that currently gets done whenever somebody finds the time, and carries it every day instead. Your people keep the judgment; the agents absorb the volume. You'll know exactly who did what, and why.
Owns the stock position across every channel and warehouse — including the ones you don't control. Reconciles the warehouse count against the system daily, flags the slow movers tying up cash, watches cover against lead times.
Tuesday's count, reconciled by hand → one position, checked every morning
Turns the sales history you've been sitting on into a forecast — seasonality, promos, velocity shifts — and into buy quantities you can challenge before you commit the cash.
Last year's sheet + a hunch → a number with its reasoning attached
Watches every order from purchase to door — across carriers, 3PLs, EDI and marketplace portals. Catches the exception at the seam between systems and drafts the note before anyone has to ask.
Five systems, nobody on the seams → exceptions caught the day they happen
Runs the order-to-cash chain — confirmations, invoicing, retail-account order structuring, and the handoffs that usually need a human to babysit them forward.
Order volume that outgrew the process → order-to-cash that keeps moving
Matches marketplace and gateway payouts — fees, refunds, reserves — against the bank, and keeps the close moving all month instead of eating week one. Answers the margin question without a report request.
Month-end archaeology → payouts reconciled nightly
Watches receivables age, reminds accounts before the due date rather than after, chases with the history attached, and escalates only when the relationship needs a person.
Chasing invoices as a second job → chased on schedule, escalated with judgment
Enforces the naming convention nobody has time to enforce. One SKU master, one customer record, consistent across the store, the ERP and the retail portals — duplicates merged before they multiply. The foundation every other agent depends on.
Repairing the data before reading it → a record that stays clean by default
Most stores start with one or two agents where the lag hurts most, then add more as trust builds. You set the pace — and add capacity as the sales side keeps growing.
One job that keeps slipping → a back office that scales with you
04The receipts
PC hardware & gaming e-commerce · nzxt.com
“Kanvas put nine agents into production at NZXT covering inventory, payables, logistics, demand planning and support, on a data layer wired to our ERP. Most vendors show you a demo. They shipped things that run every day, and it's some of the highest-leverage work anyone has done for us.”
9 agents
Live in production
5 areas
Inventory · payables · logistics · demand planning · support
05How it works
Shopify, Amazon, your own site, your ERP, your bank, your 3PL, your EDI — Kanvas plugs into the stack you already run. Nothing gets replaced, and the work you've already built becomes the foundation.
Plain language, live answers, no request queue. Questions nobody pre-built a report for get answered from current data — while the decision they inform is still open.
Agents propose actions with the reasoning attached. You approve what needs judgment; routine work runs on the guardrails you set, and the volume stops landing on one person's desk.
Live in weeks, not quarters.
First agents in production start with the single job that slips most often.
06Control
Anything that touches money, suppliers, or customers is proposed before it's executed. You decide what runs free and what always asks.
Each agent sees only the systems its job requires. Argus doesn't touch the bank; Tally doesn't touch the catalog.
Every action logged with its reasoning and its source data. Your weekly summary shows what got done and why — no one has to assemble it.
Drafts before sends, holds before releases. And your data stays yours — handed back in standard formats if you ever leave.
07Questions operators ask
No — it builds on them. Whatever you've already engineered is an asset: it means your data model is understood. Kanvas adds the layer on top — plain-language access, questions nobody pre-built, and answers from live data instead of extracts.
Almost nobody's is — inconsistent SKU naming and duplicate customer records are the normal condition of a business that grew faster than its conventions. Cleaning and holding that record is a job Kanvas does, not a prerequisite you have to finish first. It's often the first agent we put in.
Shopify, Amazon, your own storefront, and the systems behind them — ERP, accounting, bank feeds, 3PL and carrier data, EDI and retail portals, CRM and email. If it has an API or an export, it can join the picture.
No. This is a managed service: we configure, monitor, and improve the agents. That matters most for lean teams — the capacity arrives without a hiring cycle, an implementation project, or someone on your side owning it.
That's not the pitch. Your people stay on supplier negotiations, key accounts, and the calls that need a relationship. Agents take the volume that's currently forcing them to choose between selling and reporting — so the same team can carry a much bigger business.
Right away — the walkthrough is a working system, not a slide deck. It runs on a demo store's real system of record rather than your data, so there's nothing to connect and nothing to prepare. First agents in production typically follow within weeks, starting with the single job that slips most often.
Plans scale with how much work the agents take on, starting small. The walkthrough ends with a concrete recommendation and a number — no pressure attached.
Live walkthrough
Thirty minutes, and nothing to connect. You'll see the agents running live on a demo store's real system of record — real channels, real numbers, the jobs that keep slipping to next week. Then we'll tell you honestly which of your own jobs agents can carry today, and which they can't yet.
Pay for results, not seats, credits, or usage.