May 14th, 2026
Every trading year brings its own warehouse drama: inbound containers all landing on the same Monday, picker traffic jams in the aisles, cages blocking fire doors, fleets queuing at the shutter, and the odd “where on earth is that pallet?” moment just as cut-off hits.
This release is built to keep your operation steady through all of it – sharpening your view of risky orders before they hit the packing benches, smoothing the flow from goods-in to despatch, and letting your teams from city centres like London and New York to every corner of your network get on with the important bit: loading the right cartons on the right vehicles, on time, without breaking a sweat.
For a deeper dive into this release, including detailed visuals and design walkthroughs, see the Neuro May Release.

We have introduced an Order Anomaly Score so unusual orders stand out clearly instead of hiding in long lists. Each order now shows a score along with clear reasons, so you can see at a glance which ones need a second look and why. This makes it easier to spot potentially fraudulent or problematic orders before anything leaves the warehouse, to prioritise manual review for genuinely high risk orders, and to let normal traffic flow without unnecessary friction. Because the score can also be used in reports and filters, you can monitor anomaly trends over time and keep your compliance and finance teams reassured that you are focusing attention where it matters most.
We have refreshed key parts of the Neuro interface so it feels cleaner, faster, and more consistent, the way a well run pick face feels compared with a cluttered stock room. Visual clutter has been reduced, navigation is clearer, and everyday controls are more predictable, which means fewer “where do I click” moments for new users and smoother days for experienced ops and support teams. For city-based teams juggling multiple tabs and Yorkshire warehouses running fast-paced shifts, this modernisation keeps the platform feeling sharp, responsive, and easy to live in all day.
Cdiscount orders now handle multi parcel and multi fulfilment scenarios more naturally, matching the way your team actually dispatches orders. You can split a single order into several parcels and still keep tracking information clear and aligned with customer expectations. This reduces failed fulfilments where an order cannot realistically be shipped as a single parcel and improves the accuracy of “what shipped and when” whenever customer services need to check the details. The result is a simpler operational story for both warehouse and support teams, even when the order itself is a little more complex.
Hosted Pages now make SKU mapping faster and safer, especially when your catalogue has just changed and everything needs lining up again. You can view channel products alongside your mappings and use bulk update flows, including template download and upload, to correct and refine matches at scale. This turns what used to be a manual, one by one chore into a controlled, high volume workflow. Non technical users can confidently manage mappings directly in Hosted Pages, keeping channels and core SKUs correctly aligned without waiting for specialist support.
VirtualStock can now copy order comments into tags, turning key notes into structured, searchable data. Instructions such as “leave safe”, “fragile”, or special handling notes become visible in tags that your team can search, filter, and report on. This reduces the need for manual tagging, helps warehouses act consistently on important details, and gives operations leads better visibility into how special instructions and service promises are flowing through the network.

The Order Sync Delay behaviour has been extended to include plugin order synchronisation, giving you more consistent timing control across different integration paths. When you want a deliberate buffer before sending orders onward, for example to allow for fraud checks, stock balancing, or financial reconciliation, that delay now applies in a predictable way to plugin traffic as well. This keeps the flow of data calmer and more controlled, even at busy times.

Across the board we have focused on making the platform behave more like that dependable colleague who simply gets on with the job quietly in the background. The following changes transform previous edge cases into more robust, predictable behaviour.
Mirakl stock updates are now more reliable in multi worker environments. We have improved the handling of CSV generation and upload so that files created on one worker are correctly located and processed by another, avoiding empty or failed uploads. This keeps inventory updates consistent and reduces the need for manual checking or re runs when your infrastructure is scaled out.
We have refined the handling and retry logic for webhook orders so they are far less likely to remain stuck in progress. Orders that previously needed manual intervention now move forward more consistently as the system recovers from transient issues. This supports smoother, hands off order flows, especially where multiple systems are talking to each other in real time.
SHEIN order address imports now behave more predictably, ensuring address details are captured correctly on arrival. This improves order completeness, reduces manual corrections, and shortens the time between receipt and ready to ship status, particularly for support teams who need reliable customer information at a glance.
For Shopify restricted location scenarios we have improved how item quantities are interpreted, so they more accurately reflect fulfilment order details. This means the quantities used in downstream processes are aligned with the actual fulfilment logic, which reduces confusion, prevents mis shipments, and supports clearer stock and service reporting.
We have added the missing status filter behaviour to the Mirakl Get Missing Order Job so that shipped orders are less likely to be imported unexpectedly. This keeps “missing order” processes focused on genuinely outstanding cases, reducing noise for operations teams and keeping reconciliation workflows tidier.
Customer names from Shopware are now mapped in a more human friendly way, instead of appearing as unreadable identifiers. This makes orders easier to search, filter, and work with in support and operations, especially when teams are quickly scanning lists to find the right customer during a call.
Temu channel creation via API is now more tolerant of edge cases, including scenarios where some optional credentials are absent. Instead of failing with an error, the setup process behaves more gracefully, so new channels can be brought online with fewer interruptions and less back and forth between technical and commercial teams.
We have adjusted Helm to Neuro payload validation for SHEIN so that strict boolean handling no longer disrupts connection attempts. This improves the success rate when adding SHEIN via Helm, letting your team configure channels with greater confidence and fewer retries.
SHEIN product downloads now respect timing and activity more reliably, ensuring active products are fetched as expected rather than occasionally resulting in “zero products downloaded” surprises. This keeps catalogues in line with reality and reduces the need for manual checks when onboarding or updating product sets.
Optional passthrough fields for Inventory Planner are now treated correctly when left empty, rather than being interpreted as zero. This prevents incorrect maximum limits from being applied and protects replenishment behaviour from unintended constraints, which is especially important for stock planning and financial forecasting.
Saving the Helm plugin configuration no longer refreshes tokens when credentials have not changed. This removes unnecessary token rotations that could disrupt ongoing processes, giving you a more stable, predictable integration layer while still allowing configuration updates when required.
Unleashed fulfilment synchronisation is now protected against a duplication scenario that could create multiple fulfilments for the same order. This keeps fulfilment records cleaner, reduces reconciliation effort, and supports clearer reporting for both warehouse operations and finance teams.
We have refined the logic around unshipped order statuses so that orders are less likely to remain stuck or oscillate between states. Statuses now better reflect reality, which reduces user confusion, supports accurate dashboards, and helps everyone trust what they see on screen.
BigCommerce payment statuses are now mapped more consistently so that genuinely paid orders do not appear with missing or unknown payment states. This reduces friction for finance, improves confidence for operations and support teams, and helps ensure that paid orders move through fulfilment without unnecessary manual checks.

Every improvement in this release is designed to make Neuro a calmer, more capable hub for your operations, whether you are shipping from a Yorkshire warehouse in the drizzle, managing a city centre boutique schedule, or coordinating a multi channel network across regions. From anomaly scores and smarter rules to sturdier integrations and cleaner interfaces, the focus is on giving you clearer insight, fewer surprises, and more time to look after your customers.
As your business grows and seasons change, our goal is to keep your systems simple at the centre and sophisticated at the edges, so you can keep inviting more partners, brands, and colleagues into an ecosystem that just works for them. After all, everything we build is built for you and your teams first.