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Automation and AI agents for ecommerce brands whose orders move through a real warehouse.

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ZavrAI

Systems in daily use.

Six builds running in production right now. Each one has a full write-up of how it works and what broke along the way.

Workflow study · illustrative records
Zoho / job progressionOne change. Work moves.
DEAL · EXAMPLEStage changedZoho CRM
CHECK EXISTING WORKProceed once ↗
TasksClickUp↗
InvoiceZoho↗
Project boardZoho Projects↗
Repeated event ↳ existing work retained
Zoho CRM pipeline / Sheraton Interiorsn8n, Zoho CRM, Zoho Projects

A pipeline that moves the job forward on its own.

Twenty-seven stages across leads and deals. Each stage change creates the right tasks, invoices and project boards across Zoho, ClickUp and Sheets. Repeated webhooks do not create duplicates, because every branch checks whether the work already exists before it runs.

27 pipeline stages. 24 workflows live.

Open a teardown
Workflow study · illustrative records
Warehouse / dispatchThe batch is ready.
PICK SHEET EXAMPLE
BINORDERQTY
A–0110412
A–0310421
B–0210433
Aisle-ordered · bins allocated
DISPATCH03orders in this example
Labels ready ↗
Plan boxes → labels → pick → sync
Bulk shippingNext.js, PostgreSQL, BullMQ

The app the warehouse runs on.

Label-first multi-order picking. Box planning, label purchase, aisle-ordered pick sheets, shipment sync. It allocates live warehouse bins at label time and redirects pickers around empty or reserved locations mid-pick.

3,000+ orders a day. 5,000 at peak. Las Vegas and Mexico.

Open a teardown
Workflow study · illustrative records
Returns / chain of custodyEvery handoff accounted for.
01Return labelIssued
02Warehouse scanReceived
03Customer updateSent
04Refund preparationReady for review
One tracked lifecycle across teams
Returns and RMAn8n, Python, PostgreSQL

Returns that do not get stuck between teams.

Return labels, warehouse scans, customer updates and refund preparation in one tracked lifecycle. A custom async engine tracks hundreds of shipments at once with rate limits and retries.

60 to 70 percent less manual returns work. Estimated.

Open a teardown
Workflow study · illustrative records
Support / bounded decisionsContext before an answer.
Where is my order?Example customer request
CONTEXT CHECKEDOrder lookup ✓Store policy ✓
Human handoff ↗

Sensitive requests go to the team.

Support agentClaude API, tool calling, Shopify

An agent that handles the easy stuff.

Live on the storefront. It combines order lookup, policy context and internal tools. Low-risk requests close on their own. Sensitive ones go to the team.

Fewer tickets a human ever has to touch.

Open a teardown
Workflow study · illustrative records
Operations / shared viewThe floor. Finance. One record.
FulfillmentReturnsInvoices
WORKSTREAMSHARED RECORD
BackordersInventory ↗
ContainersSupply chain ↗
ReturnsWarehouse ↗
InvoicesFinance ↗
SyncedOne source of truth
Ops platformNext.js, PostgreSQL, WMS

One screen the floor trusts.

Replaces disconnected spreadsheets with a shared view of backorders, fulfillment, containers, returns and invoices. One source of truth, synced automatically.

Used every day by warehouse, finance and supply chain. Inventory synced across six countries.

Open a teardown
Workflow study · illustrative records
Enquiries / durable captureSaved before anything sends.
WEBSITE ENQUIRYNew project enquiry
✓ Saved to database
↓
Team notification ↗Customer confirmation ↗
If sending fails the enquiry stays safe
Lead capture / ARC Intelligencen8n, Supabase, Gmail

The lead is safe before the automation runs.

The website writes the enquiry to the database first. Only then does the pipeline pick it up, notify the team and send the confirmation. If an email step fails, the lead is still there. Database events are filtered to inserts only, so editing a record later does not email the customer twice.

Zero leads lost to a failed send.

Open a teardown

Find out what your manual ops actually cost.

MapBuildRun ↗

30 minutes on your stack. Then a written map of every manual step, what it costs you in hours per week, and which ones are worth fixing first. Free, and yours whether or not we build anything.

Book a 30 minute call

If automation is the wrong answer for your stack, we will say so on the call.

3,000+

orders a day through the bulk shipping app.

See the work