For Australian businesses selling the same stock in more than one place

Multichannel Inventory Sync for Australian Sellers

The moment you sell the same item in two places, you have an inventory problem. Add a third channel and a warehouse and you have a full time one, usually solved by a spreadsheet, a nightly export and a standing apology to customers who bought something you no longer had.

We build the layer that keeps stock honest: one source of truth, near real time updates out to every channel, safety buffers tuned per product line rather than one blunt number, and proper handling for the awkward parts, which are bundles and kits, backorders, stock in transit, third party logistics feeds and the gap that opens after every stocktake.

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Realistic ROI

1 source of truth

For available quantity

Everything else reads, which is the decision that makes the rest work

Per line

Safety buffers, tuned by velocity

Rather than one number applied across the whole catalogue

Minutes

From movement to every channel updated

Compared with a nightly file, which is where oversells come from

3 to 8 weeks

From scoping to live across channels

Staged by channel, highest volume first

Why Stock Goes Wrong Across Channels

Four causes. Only one of them is really about how often the numbers update.

Nobody decided which system owns the number

When the warehouse system, the point of sale and the online store all believe they hold the real quantity, they will overwrite each other in a loop and the errors compound quietly. One system has to own available quantity and everything else has to read it. That decision costs an hour and prevents a year of unexplained variances.

Fixed allocations waste stock in both directions

Splitting stock across channels feels safe and performs badly. You end up out of stock on the channel where demand landed and sitting on the same item unsold elsewhere, and you still oversell when orders arrive in a burst. A shared pool with per channel buffers sells more of the same inventory with fewer cancellations.

Bundles and kits are calculated, not counted

If you sell a product both individually and inside a bundle, its available quantity depends on the components rather than a stored figure. Most simple sync tools treat the bundle as a separate item with its own count, which drifts immediately. Kits need calculating on every movement, and that is where a lot of quiet overselling actually originates.

Stock in transit and at a 3PL is invisible

Goods on a container, in transfer between stores, or sitting at a third party logistics provider are real stock, but they usually do not appear anywhere a customer facing system can see. Without a feed from your logistics provider and a view of inbound stock, you understate what you can sell and hide realistic lead times from customers who would happily wait.

What a Proper Inventory Sync Layer Handles

Six capabilities. The first two are usually enough to stop the oversells, and the rest is what keeps it accurate.

One owner

Single source of truth

One system owns available quantity per location and everything else reads from it. Which system that is depends on your business: often the ERP for wholesalers, the point of sale for retailers, a warehouse system for high volume shippers. Written down and agreed before anything is connected.

Channels updated

Near real time distribution

Movements flow out to every channel within minutes rather than overnight, by location where it matters. High velocity lines update immediately, slow moving lines can update on a schedule, which keeps the cost and the API load sensible instead of pushing everything constantly.

Oversells prevented

Safety buffers by velocity

Buffers set per product line and per channel based on how fast each item moves and how harshly each channel treats a cancellation. Reviewed against real order data after go live, because the correct buffer is discovered from behaviour rather than guessed at launch.

Calculated availability

Bundles, kits and variants

Bundle and kit availability is derived from component stock on every movement, so selling a bundle correctly reduces its components and selling a component correctly reduces what bundles remain sellable. Variant and unit of measure differences between systems are mapped explicitly rather than assumed.

Full picture

Inbound, transfers and 3PL

Purchase orders on the water, transfers between locations and stock held at a third party logistics provider are brought into the picture, so you can offer realistic lead times or accept backorders on items that are genuinely coming rather than simply hiding them.

Drift caught early

Variance, stocktakes and alerts

Stocktake results flow through the same path, and unexpected variances raise an alert rather than being absorbed silently. Negative stock, items selling below zero and lines that repeatedly disagree between systems are surfaced weekly so the underlying process problem gets fixed.

Manual Stock Management Versus a Sync Layer

Task	Traditional	With Yes AI	Notes
Item sells in store	Website updated overnight	Every channel updated in minutes	The overnight gap is where the majority of oversell refunds are created.
Stock split across channels	Fixed allocation each	One pool with per channel buffers	Sells more of the same inventory and cancels fewer orders than splitting it.
A bundle is sold	Component counts drift	Components reduced, kits recalculated	A frequent and hard to spot source of overselling in catalogues with kits.
Goods arrive from a supplier	Sellable when someone updates	Available as soon as received	Inbound and in transit stock visible, so backorders can be accepted honestly.
Stock held at a 3PL	Reconciled by email	Fed in on a schedule	Removes the standing weekly task and the standing weekly discrepancy.
A stocktake finds a variance	Adjusted quietly, cause unknown	Adjusted and flagged for review	Repeated variance on the same lines usually points at a process problem worth fixing.
A product goes negative	Noticed at month end	Alert raised the same day	Negative stock is almost always a mapping or process error rather than a counting one.
Adding a new channel	Another spreadsheet column	Added to the same layer	The marginal cost of the next channel falls sharply once the layer exists.

How We Keep Inventory Sync Honest

Reconcile the catalogue before syncing anything

Products under two codes, barcodes that differ between systems, and units of measure where one system sells by carton and another by each will produce wrong numbers no matter how good the sync is. We align the catalogue first, because synchronising a mismatched catalogue simply distributes the error to more channels faster.

Set buffers as a commercial decision

A buffer is a deliberate trade off between lost sales and oversell refunds, and the right number differs by product velocity and by channel. We set it with you rather than applying a default, then review it against real order data after a few weeks, because the correct figure is discovered from behaviour rather than assumed at launch.

Never let two systems both write the quantity

Bidirectional quantity syncing between two systems that both consider themselves authoritative creates a feedback loop that is extremely hard to diagnose after the fact. One owner writes, everything else reads. Adjustments made in a reading system are either blocked or routed back through the owner deliberately.

Make every adjustment safe to repeat

Stock messages get retried after a timeout. If an adjustment is expressed as a relative change rather than an absolute level, a retry silently double counts and the error persists until the next stocktake. We use absolute levels with a stable reference wherever the systems allow it, which makes retries harmless.

Watch for drift rather than waiting for stocktake

Small discrepancies between systems compound quietly. We reconcile channel quantities against the source on a schedule and surface the lines that repeatedly disagree, so a mapping error or a process problem is found in its first week rather than at the annual count when nobody can remember what changed.

Prove capacity before your peak

Inventory sync generates the most traffic of any integration, and every platform enforces rate limits. A catalogue wide update run carelessly can throttle your storefront during trading. We pace updates, prioritise high velocity lines, use bulk operations where available, and test at multiples of normal volume before each seasonal peak.

How Yes AI Delivers Inventory Sync

Catalogue and accuracy audit first

We align products, barcodes and units of measure across your systems, measure how accurate your current stock actually is, and quantify what overselling and hidden stock are costing you. You get a prioritised plan with a fixed price, and the audit is worth having regardless of who builds it.

Built for the awkward stock

Bundles and kits calculated from components, variants and unit of measure differences mapped explicitly, multi-location and in transit stock included, and third party logistics feeds treated as a first class source rather than a monthly email.

One channel at a time, watched closely

We start with the highest volume channel, run it alongside your existing process, compare the numbers daily and tune buffers against real orders before extending. You see the oversells stop on one channel before committing to the rest.

Monitored, reconciled and ready for peak

Same day alerting on sync failures, scheduled reconciliation between channels and the source, weekly variance reporting, and capacity confirmed before Christmas and major sales events when the cost of getting stock wrong is highest.

Our Inventory Sync Rollout

Five steps. The first channel is normally live within three to five weeks.

Audit catalogue and measure accuracy (week 1)

Products, barcodes and units of measure aligned across systems, current stock accuracy measured per location, and the real cost of overselling and hidden stock quantified.

Choose the source of truth and buffers (week 1 to 2)

One system named as owner of available quantity, buffers agreed per product velocity and per channel, and update frequency set per line so cost and API load stay sensible.

Build the sync layer (week 2 to 4)

Distribution to the highest volume channel first, with absolute level updates, kit and bundle calculation, multi-location handling and monitoring wired in from the first day.

Run in parallel and tune (week 3 to 5)

Live alongside your existing process while we compare numbers daily, tune buffers against real order behaviour and resolve the products that keep disagreeing before extending further.

Extend and reconcile continuously (ongoing)

Remaining channels, then inbound stock, transfers and third party logistics feeds. Scheduled reconciliation, weekly variance reporting and capacity checks before each peak.

FAQ

How fast should stock sync between channels?

Fast enough that the gap does not cost you sales, which for most businesses means within a minute or two for high velocity lines. It does not have to be instant for everything. Slow moving products can update on a schedule, which keeps API load and cost reasonable. Deciding this per product rather than per project is what keeps a sync layer both accurate and affordable.

Can inventory sync eliminate overselling completely?

It removes the great majority and manages the remainder, which is the honest answer. There will always be a short window between a sale happening and every other system hearing about it, and there will always be occasional counting errors on the shop floor. Safety buffers tuned per line and per channel are what cover that window. Anyone promising exactly zero is describing a business without physical stock.

Should we hold a fixed stock allocation per channel?

Generally no. Fixed allocations guarantee that you will be out of stock on the channel where demand actually landed while the same item sits unsold on another, and they still oversell during a burst of orders. A shared pool with buffers set per channel sells more of the same inventory and produces fewer cancellations, which also protects your marketplace seller metrics.

How do you handle bundles and kits?

Bundle availability is calculated from component stock on every movement rather than stored as its own number. Selling a bundle reduces the components, and selling a component reduces how many bundles remain sellable. Simple sync tools that treat a bundle as an independent item drift within days, and it is a common and hard to diagnose source of overselling.

Can you include stock held at our 3PL?

Yes, and most third party logistics providers offer either an API or a scheduled file feed. Bringing that stock into the picture removes the recurring email reconciliation and lets you sell what is genuinely available rather than a conservative guess. Stock in transit and inter-store transfers can be surfaced the same way so you can offer realistic lead times.

Which system should own our stock numbers?

It depends on where stock physically moves and which system your team already trusts. Wholesalers usually name the ERP, retailers with shops usually name the point of sale, and high volume shippers often name the warehouse system. What matters more than the choice is that it is made explicitly, written down, and that every other system reads rather than writes. We work this out with you in week one.

What does it cost to keep running?

We charge a fixed build price plus a flat monthly managed fee covering monitoring, scheduled reconciliation, variance reporting and vendor API changes. We deliberately avoid per record pricing on inventory work, because stock updates are by far the highest volume messages in any integration and metered pricing on them turns a busy trading month into an unpleasant invoice.

One Stock Number Everyone Can Trust

Book a call. We audit your catalogue, measure how accurate your stock really is, and give you a fixed price plan starting with the channel where overselling costs you most.