Workflow diagram: an On Schedule stock database syncs to Storefront, Marketplace, and Catalog, ending at an All In Sync badge.
Supply Chain / Retail

Automate Inventory Updates

Keep inventory data accurate across every channel — automatically.

Channels stay current

Accurate availability

Every storefront and marketplace reflects what the warehouse actually holds, without a person pushing updates.

No spreadsheet round trip

Effort saved

The export, edit, and re-upload cycle that consumes merchandising time disappears.

Failures are visible

Reliability

A channel that rejects an update raises a failed run instead of quietly keeping a stale number.

One governed workflow across systems that never talked.

Who it's for
Retail and eCommerce teams publishing stock levels to multiple channels that each want the data in their own shape.
What it does
A scheduled workflow that reads authoritative stock levels and publishes them to every sales channel in the format each requires.
Systems involved
Your inventory source and every channel that displays availability — connected through the REST Client, with dedicated activities built on request.
How it stays governed
Scoped credentials per channel, verified writes, and a complete record of every publish cycle.

What this looks like today

The friction that makes this workflow expensive to run by hand.

01

Manual

Updating channels is somebody's morning

Exporting from one system, reshaping in a spreadsheet, and uploading to each channel is a daily task that scales with channel count.

Repetitive workHuman error
02

Format

Every channel wants it differently

Column names, identifiers, and file formats differ per channel, so one export never fits and each needs its own handling.

ReformattingMapping drift
03

Silence

Rejected uploads go unnoticed

A failed upload leaves the old figure in place. Nobody finds out until a customer orders something that is not there.

Stale dataOversells

The workflow

How Koodisi runs it

Koodisi automates inventory updates triggered by orders, returns, and supplier receipts — ensuring every system reflects the current stock position without manual intervention.

01

Read the authoritative levels

Stock is read from the system of record on a schedule matched to how fast your inventory actually moves.

Scheduled triggers reading through the REST Client.

02

Shape it per channel

Each channel gets identifiers, units, and formats in the structure it expects, so no manual reformatting stands between the warehouse and the storefront.

Conversion across CSV, JSON, XML, and fixed-width formats.

03

Apply publishing rules

Buffers, minimum thresholds, and channel-specific holdbacks are applied so you publish a deliberate number rather than a raw count.

Rules are defined per channel and product group.

04

Publish and confirm acceptance

Updates are sent and the result checked, so a rejected batch is a visible failure rather than an assumed success.

Retry policies for transient failures; unconfirmed writes raise a failed run.

05

Record the cycle

Each run records what was published to which channel, what was held back, and what failed.

Execution logging with per-channel status.

Connectivity

The systems in this workflow

Koodisi orchestrates the platforms this workflow touches — through the REST Client today, and through a dedicated activity whenever you need one.

The capability underneath

Every workflow above is assembled from the same governed building blocks — which is why connecting one more system is a day of work, not a project.

Connect to anything

  • REST and webhook connectivity with managed authentication (4 activities)
  • Secure file transfer over SFTP (5 activities)
  • Direct database reads and writes (4 activities)

Move and reshape data

  • Translate between CSV, JSON, XML, and fixed-width formats (6 activities)
  • Field-level mapping between systems that model data differently
  • High-volume batch processing with per-record tracking (7 activities)

Decide and protect

  • Decision tables for approval and routing rules your team can read
  • Encryption, hashing, and signature verification on sensitive fields
  • Retry policies, error handling, and full execution logging

Business systems connect through Koodisi’s REST Client, and our team builds dedicated activities for the ones you depend on — typically within a day of you asking.

Request a system →

Governance

Automated, but still under control

Every run is authorised, recorded, and observable — the part that decides whether automation survives an audit.

Every publish recorded

Each cycle logs the values sent per channel with before and after state, so a disputed figure can be traced.

Per-channel credentials in Key Vault

Each channel's credentials are stored in Key Vault and referenced at run time rather than shared in a step.

Publishing rules you can read

Buffers and holdbacks live in decision tables, so merchandising can adjust them without engineering.

Scoped permissions

Permission scopes separate who can run a publish from who can change the rules that govern it.

Visible per channel

Traces show which channel is slow or failing rather than reporting one aggregate success.

Cost data masked

Cost and margin fields are masked in logs so publishing records stay operational rather than commercial.

FAQ

Frequently asked questions

Still have a question? Talk to our team.

Ship integrations faster. Operate them without chaos.

Less time on auth, retries, and deployment scripts. More time on the integrations your customers are asking for.

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