With Release 2.14 we focused on one thing: helping you make better merchandise decisions with less effort especially at the start of the season and in day-to-day store operations.
This update brings a fully redeveloped Smart Initial Allocation module, more intuitive Smart Store Transfers, and several quality-of-life improvements across Chainbalance and PO Forecasts.
A new generation of Smart Initial Allocation
Initial allocation is where you set the tone for the entire season. In 2.14 we rebuilt this module from the ground up.
Instead of working with rough rules and static size curves, the new Smart Initial Allocation now uses SKU-location level forecasts to suggest quantities per store and size. Preorder quantities are taken into account, so what has already been sold in sell-in is directly reflected in your first drop to stores.
You can prepare allocations for many options at once using scenarios. Each scenario lets you:
- Select the options you want to allocate together
- Define reference date ranges and hierarchies (for example: similar product groups, price bands or seasons)
- Simulate different strategies before sending orders to your ERP
The result: instead of starting with a “best guess” and cleaning up with replenishment later, you give every option a more realistic starting point, lean where needed, deeper where demand is proven.
Store Transfers: scenarios instead of spreadsheets
Store transfers are powerful, but only if they are easy to configure and explain. In 2.14 we introduced support for three transfer scenario types and simplified the settings within each of them.
You choose the scenario that fits the business question, for example, clearing overstock, supporting priority stores or balancing size gaps and the portal guides you through the relevant parameters instead of overwhelming you with every possible toggle.
Sales data is now visible directly on the store selection page, so you immediately see which locations are strong candidates to send or receive stock. From a finished scenario, you can jump straight into the replenishment list with the right subset of SKUs and stores, closing the loop between transfer planning and execution.
Planned “push to target”: more control, less surprise
A planned push “push to target” encourages deliberate use of pushes instead of accidental one-click actions and it makes it easier to align extra stock with your planning calendar and ensures you have a base level of stock in the stores at replenishment start.
With 2.14, you explicitly choose when that push should happen:
- On the next order date
- After the replenishment start date
Date ranges: the classics are back (and smarter)
Many of you asked for the familiar date ranges: last week, last month and last year to return to the portal. They’re back in 2.14, now with correct full-unit behaviour and we’ve also added “last 60 days” as an extra option.
That means you can work with intuitive, calendar-like periods again while still getting accurate demand signals for your reports and decisions.
PO Forecasts for NOS: more context, fewer clicks
For NOS PO Forecasts, we’ve made the configuration more transparent and faster to work with:
- The NOS Forecast configuration is now visible directly in the articles list, so you see immediately which settings apply before you make mass changes.
- When you enter new order dates, the module remembers the last lead time you used and pre-fills it for the next entries.
Small changes, but they add up to less repetitive input and fewer mistakes in your purchase order planning.
Quality-of-life improvements in Chainbalance
Two additional upgrades help planners read and work with data faster:
- A new “Gap” column in the replenishment list shows the difference between on-hand stock and the target level. It makes shortages and overstocks visible at a glance
- Filtering has been refactored and aligned with SKU-location report sorting, so what you see in your filters now matches what you see in your reports
- The ability to mass-edit MOQ settings in Store Management
These details reduce friction in day-to-day use and support cleaner, more consistent decisions.
What’s next?
All of this supports our broader goal: to give brands a robust merchandise-management engine that is powerful enough to handle complexity but simple enough for teams to enjoy using.
If you’d like to see how 2.14 can support your specific setup with Smart Initial Allocation, Store Transfers, NOS PO Forecasts or all of the above reach out to your Customer Success contact or our Business Development Team and we’ll walk through the changes together.