Live webinar · 7th October 2026: Sage X3 Amazon Integration - 3 Mistakes to Avoid Save my seat

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Live webinar · 7th October 2026

Sage X3 Amazon Integration - 3 Mistakes to Avoid

Stock stops matching. Finance stops reconciling. Nobody can find the root cause. In 45 minutes, we trace the three mistakes behind it - in SKU mapping, inventory sync, and how Amazon payouts get posted - and show what a correctly built flow into Sage X3 looks like.

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45 minutes · Live Q&A · Free to attend · Recording sent to all registrants

Webinar Starts In

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  • Map Amazon SKUs to Sage X3 the right way
  • Keep stock accurate across every fulfilment node, including FBA
  • Reconcile Amazon payouts without spreadsheets
THE PROBLEM

Amazon was supposed to grow revenue. Instead it grew the workload.

Most Sage X3 companies selling on Amazon end up in one of three places: they pull back and let the channel quietly get less attention, they hand it off to a third party and give up margin and visibility, or they absorb it — two people re-keying orders and rebuilding settlement reports in Excel before every close.

Nobody chooses any of these on purpose. They happen when inventory stops matching, finance stops reconciling, and nobody can find the root cause.

“

“None of those are decisions anyone makes deliberately.”

WHAT YOU'LL SEE

The mistakes, what each one costs, and the fix

Abhishek and Debangan walk through each mistake, the symptom it creates, and what the correct design looks like:

  1. 01

    SKU mapping — Why Amazon SKUs should never be mapped one-to-one to Sage X3 item codes, and the mapping model that works instead.

  2. 02

    Inventory sync — Why scheduled syncs lead to stockouts, and how event-driven stock updates keep every fulfilment node accurate, including FBA.

  3. 03

    The correct end-to-end flow — Order ingestion, fulfilment, returns, and settlement back into Sage X3.

  4. 04

    Live Q&A — Bring your own Sage X3 and Amazon scenarios.

The cost of each mistake, in stockouts, labour hours and delayed closes.

WHAT YOU'LL WALK AWAY WITH

What you will learn

  • 01

    Why Amazon SKUs should never be mapped one-to-one to Sage X3 item codes, and the mapping model that works instead.

  • 02

    How to move from scheduled inventory syncs to event-driven stock updates across multiple fulfilment nodes, including FBA.

  • 03

    How to decompose an Amazon settlement report into fees, refunds, reserves and reimbursements, so finance can reconcile without spreadsheets.

  • 04

    The end-to-end order-to-cash flow: order, sales order, delivery, invoice, payment, return.

  • 05

    How to add a second and third sales channel on the same integration layer, instead of rebuilding.

WHO SHOULD ATTEND

For teams running Amazon on Sage X3

If Amazon is live — or about to be — and the numbers never quite line up, this session is for you.

  • Finance leaders and controllers who rebuild Amazon settlement reports in Excel before every close.

  • Operations and eCommerce leaders dealing with stock that doesn't match across Sage X3, FBA and other fulfilment nodes.

  • IT and Sage X3 owners who want one integration layer that can take on Shopify and other channels later, without a second project.

If you sell on Amazon and run Sage X3, this one's for you.

HOW IT'S BUILT

One flow from Amazon to Sage X3 — and ready for the next channel

We show what a correctly designed end-to-end flow looks like:

  • Order ingestion and fulfilment — Amazon orders arrive in Sage X3 as sales orders and move through delivery and invoice.
  • Returns — Returned orders flow back into Sage X3 as part of the same order-to-cash cycle.
  • Settlement decomposition — Amazon payouts are split into fees, refunds, reserves and reimbursements before they post to Sage X3.
  • Multi-channel ready — The same layer extends to Shopify and other channels, without a second integration project.
WEBINAR DETAILS & HOSTS

Everything you need to know

Join us live on 7 October. 45 minutes, including Q&A.

Event details

  • Date

    7th October 2026

  • Time

    12:00 pm CT

  • Format

    Live online webinar with Q&A

  • Cost

    Free to attend

  • Duration

    45 minutes including live Q&A

  • Can't make it live?

    Register anyway — we'll send the recording to everyone who signs up.

Your hosts

Abhishek Sur

Abhishek Sur

VP Product (Product Engineering)

appse ai

LinkedIn
Debangan Deb

Debangan Deb

Associate Onboarding Manager, Customer Success (Onboarding)

appse ai

LinkedIn

Find the root cause before the next close.

45 minutes. Three mistakes. One correct flow from Amazon to Sage X3 — ready for your next channel.

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