Inventory & stock position
The warehouse count doesn't match the system, which doesn't match the channels. Somebody reconciles by hand every week — and the number still isn't trusted by Thursday.
Your e-commerce is growing. Your back office isn't keeping up.
Inventory errors, late shipments, manual reports, aging receivables — the operational drag that turns growth into chaos. Kanvas AI agents take over the back-office jobs your team shouldn't still be doing by hand.
Running in production at NZXT — 9 agents, 5 operational areas
Trusted by operators who outgrew their back office
01The problem
Operations that worked at $2M break at $10M.
Every one of these gets worse the faster you grow — and none of them is a people problem.
Hours per week reconciling counts
Fulfillment & logistics
Carriers, 3PLs, EDI feeds, marketplace portals. Nobody watches the seams between systems until a customer — or a retail buyer — asks where their order is.
Reporting & visibility
The person who pulls the numbers is the same person carrying quota. The report gets built when selling slows down — which means it describes a week that's already over.
Finance & receivables
Wholesale and retail-account invoices age quietly because chasing them is everyone's second job. Margins are too thin to fund the float — and too thin to ignore it.
02Product in action
Ask in plain language. Get the answer and the action.
The work doesn't wait for someone to free up. Ask from live data — with the action already drafted, waiting on your approval.
PilotLogisticsLIVE
How many units of SKU-2841 should go on next month's PO?
Pilot · Logistics · live data
Pulling your position and the demand curve:
- On hand — 1,240 units across both warehouses (count reconciled this morning)
- In transit — 800 units, ETA Sept 12, one container already cleared
- Projected sell-through, Aug–Sept — 3,150 units, +18% against the same window last year, promo weeks weighted
- Safety stock at your 21-day lead time — 720 units
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.
Every action follows this workflow:
Detect
Analyze
Propose
Approve
Execute
Log
03Social proof
Shipped, running, every day.
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
04What Kanvas automates
Agents organized by the work, not by product features.
Each category is a set of jobs your team is doing manually today. Kanvas agents carry them every day — with approval-first guardrails on anything that touches money, suppliers, or customers.
Inventory & demand planning
- Daily stock-position reconciliation across all channels and warehouses
- Demand forecasting from sales history, seasonality and promo calendars
- Reorder-point monitoring and PO drafting at lead-time thresholds
- Slow-mover identification and cash-tied-up alerts
Fulfillment & logistics
- Order tracking across carriers, 3PLs, EDI and marketplace portals
- Exception detection at system seams (late shipments, split orders, mis-routes)
- Carrier performance monitoring and SLA breach alerts
- Return and RMA processing with status updates to customers
Finance & receivables
- Marketplace and gateway payout reconciliation (fees, refunds, reserves)
- Proactive collections — reminders before due date, follow-ups with history
- Invoice aging reports and escalation workflows
- Month-end close acceleration — reconcile all month, not just week one
Reporting & data quality
- Year-over-year and period-over-period reporting from live data
- SKU naming and customer-record deduplication and standardization
- Cross-channel margin analysis without a manual pull
- Standing reports on schedule — no analyst, no request queue
05Integration stack
Plugs into your existing stack. Nothing gets replaced.
Kanvas connects to the systems you already run — and turns them into the data layer your agents work from.
Your systems
- Shopify
- Amazon
- ERP
- 3PL
- Bank feeds
- EDI
Kanvas
- Unified data layer
- Real-time sync
- Change detection
Agents
- Inventory
- Logistics
- Finance
- Reporting
- Collections
- Catalog
Action
- Drafted POs
- Sent reminders
- Filed reports
- Flagged exceptions
- Reconciled payouts
06Control & approval
Nothing happens without your say-so.
Every agent action follows a 7-step pipeline — from detection to audit trail. You set what runs free and what always asks.
1Detect
2Analyze
3Propose
4Review
5Approve
6Execute
7Audit trail
Free automation assessment
Find out what your team can stop doing by hand.
Tell us about your operation and we'll map the back-office jobs AI agents can take over — with a concrete plan and timeline, not a pitch deck.
A map of which jobs are automatable today vs. later
Estimated hours recovered per week
A concrete plan for the first agent in production
Free 30-minute assessment call
Priced on the work the agents take on — not per seat, not per user.