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E-commerceAutomation

RetailSync

E-commerce retailer, Romania

Key outcomeSync errors → zero
0
Inventory discrepancies
<90s
Propagation time per update
3
Platforms synced from one master
The challenge

What needed
solving

A Romanian e-commerce retailer selling across WooCommerce, Amazon.ae, and Noon was managing product data in three separate dashboards. Price and stock updates were applied manually per platform, leading to routine inconsistencies — products showing as in-stock on Amazon when the WooCommerce warehouse system showed zero inventory, and pricing that varied by 15–30% across platforms due to delayed updates. Customer complaints and negative reviews linked to stock misrepresentation were increasing.

The solution

What we built

We built RetailSync, a real-time product data layer connecting the WooCommerce database as the master record to the Amazon and Noon seller APIs. Any price or stock change in WooCommerce propagates to all platforms within 90 seconds. Sync failures trigger an instant Slack alert with the failed record and error detail. A daily reconciliation job cross-checks all three platforms and flags any remaining discrepancies for review.

Tech stack
WooCommerce APIAmazon SP-APINoon Seller APIn8nNode.jsSlack API
Category
E-commerceAutomation
Results

The numbers

Concrete, measurable outcomes delivered in production.

0
Inventory discrepancies
<90s
Propagation time per update
3
Platforms synced from one master
How we work

From brief to production

01

Discovery & scoping

We map the problem, understand the existing stack, and write a fixed-price proposal. No surprises.

1–3 DAYS
02

Build & weekly demos

You see working software every week. Feedback is incorporated immediately — not at the end.

2–6 WEEKS
03

Testing & QA

Every integration is stress-tested before go-live. Edge cases handled, fallbacks in place.

3–5 DAYS
04

Go live & handover

Full documentation, team training, monitoring setup, and 30-day post-launch support.

1 WEEK

Build something similar?

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