WorkConsumer Goods (CPG)6 min read

Wholesale Order-to-Cash at 95% Less Manual Entry With Automated EDI and Multi-3PL Routing

One idempotent pipeline that turns retail purchase orders into shipped, invoiced, reconciled revenue across multiple 3PLs, with humans touching only the exceptions.

The client is a consumer-goods brand that grew up on Shopify Plus and NetSuite and had just landed its first national retail account. That account mandated full EDI compliance, and the team was about to run order-to-cash for it on spreadsheets and manual NetSuite entry. The bottleneck wasn't demand. It was the back office.

Client profile
A consumer packaged-goods brand, ~$20M revenue, expanding from direct e-commerce into national retail
Industry
Consumer Goods (CPG)
Region
North America / UK

01 The Challenge

A retail account that mandated EDI, and an order-to-cash process held together by hand

6+ hrs/dayManual order entry & reconciliationBefore the engagement

Winning the retail account was the trigger. With it came non-negotiable EDI requirements: 850 purchase orders in, 856 advance ship notices and 810 invoices back, 940 shipping orders out to the warehouse, all on the retailer's deadlines, with chargebacks for every late ASN or mismatched invoice.

Underneath, the existing process couldn't carry it. Orders from Shopify, wholesale, and the new retail channel were keyed into NetSuite by hand. Fulfillment was split across two 3PLs with routing decided manually. Returns lived in spreadsheets. And revenue from Shopify, Stripe, and Recharge subscriptions never cleanly tied out to NetSuite. Month-end close meant hours of reconciling exports.

Headcount wasn't the answer. A pipeline was.

02 The Approach

Treat order-to-cash as one idempotent pipeline, not five point integrations

The governing rule: the system is the source of truth; people handle only the exceptions. Every document that moves (PO, ASN, invoice, shipment, return, payout) is processed idempotently and is retry-safe, so a re-sent EDI file or a duplicated webhook can never double-book an order or a dollar.

The key decision was to own the EDI translation layer rather than bolt on a generic VAN connector. Off-the-shelf gets you a feed; it doesn't get you the retailer-specific quirks, the routing logic across two 3PLs, or clean reconciliation back into NetSuite. Owning the maps meant new trading partners became a config exercise, not a project.

What we deliberately did not do: no rip-and-replace of NetSuite, no custom WMS (the 3PLs stay), and no offshore handoff. The engineer who scoped it wrote it.

03 The Build

Typed EDI maps, a 3PL routing engine, and revenue that reconciles itself

The pipeline ingests demand from every channel (Shopify Admin API for e-commerce, inbound EDI 850s for retail) and normalizes each into a NetSuite sales order via SuiteQL and RESTlets. A routing engine assigns each order to the right 3PL by SKU, inventory, and destination, then emits a 940 to that warehouse. Shipment confirmations come back, fire the 856 ASN to the retailer on time, and trigger the 810 invoice. Returns are captured and posted automatically. In parallel, a reconciliation service matches Stripe and Recharge payouts and Shopify orders against NetSuite, flagging only the true breaks.

Python runs across EDI translation, orchestration, and reconciliation, with strictly typed schemas validating every document at the boundary. Temporal Cloud runs the durable order-to-cash workflows, so a stall mid-flight resumes safely and no document is ever processed twice.

  • Python
  • TypeScript
  • NetSuite (SuiteQL + RESTlets)
  • Temporal Cloud
  • Aurora PostgreSQL
  • AWS (ECS Fargate · S3 · ALB/WAF)
  • Terraform

04 The Results

Throughput up, errors down, close faster, without adding people

95%Less manual order entryAcross e-commerce, wholesale, and retail

Manual order entry dropped ~95%; the team now works exceptions, not data entry. EDI trading-partner onboarding fell from ~6 weeks to 3 days, so the next retail account is no longer a back-office project. ASN and invoice timeliness hit retailer SLAs, and compliance chargebacks went to near zero. Revenue reconciliation across Stripe, Recharge, and Shopify runs automatically with under 0.5% exceptions, cutting days off month-end close. Inventory and order status are visible in real time across both 3PLs.

05 What's Next

A repeatable order-to-cash foundation for the next CPG brand scaling into retail

The same pattern (owned EDI maps + a 3PL routing engine + NetSuite as system of record + durable workflows) is now a tuned baseline. Adding a channel, a 3PL, or a new retailer starts from the existing build, not a blank page. It's the foundation the next contribution-margin and attribution work for this brand plugs into.

DTC E-commerce7 min read

A Support Agent That Resolves Tickets in Your Voice and Never Invents a Policy

A governed AI agent that resolves the common tickets end to end using facts pulled from Shopify, takes only the actions your policy allows, escalates everything else, and states zero facts it did not verify in code.

60%Of tickets resolved end to end
  • AI Agent
  • Governed
  • Facts-of-Record
  • Shopify
Read

Dental6 min read

Lower Cost Per Booked Patient by Attributing Ad Spend to Real Treatments, Not Form-Fills

First-party attribution that connects each ad click to the appointment booked in the practice system and the treatment that follows, then feeds that real value back to Google and Meta.

-30%Cost per acquired patient
  • Multi-Touch Attribution
  • Google Ads
  • Meta CAPI
  • Dental
Read

Engineering edge,
without hiring a team.

Numbers you can trust, operations that run themselves, all built into your stack and owned by you. Tell us where you want the edge, and we'll build it.

Have a project in mind?

  • Quick response

    You'll hear from an engineer the same working day, not a sales sequence.

  • Clear next steps

    A short call, then a plan, and we start with Proof Week or a full build.

  • Fixed fee first

    A fixed fee agreed before anything starts, for Proof Week or the full build.