1.36.0 - Release notes 17 Dec 2025

WAIR - Customer portal

Introduction

This release strengthens the Replenisher experience by giving merchandisers more control and visibility across locations, styles, and stock behavior. We introduce smarter stop logic, location-level exceptions for stock targets, and powerful new filtering options that make it easier to segment, analyze, and act on inventory performance.

In addition, the new Location Overview (Beta) brings key KPIs together in one place, enabling faster, data-driven decisions at location and style level. Together, these improvements reduce manual intervention, prevent inefficient stock movements, and ensure replenishment decisions better reflect operational reality.

TL;DR:

🛑 Automatic stop logic for styles – Prevent fragmented replenishment by automatically applying a consistent stop decision when stop proposals affect too many sizes of a style. Fully configurable, with default behavior unchanged.

📍 Location Overview (Beta) – A new consolidated view showing active styles per location, including current stock, stock targets, sales performance, sell-through, and inventory flows, available to all users during the beta rollout.

📐 Location-level min / max exceptions – Define exception min and max values per location. When set, these values override merchandise category min/max settings for stock target calculations in that location.

🏷️ Filter by style attributes – Segment and manage styles using business-specific style attributes (such as target group) directly in replenishment and redistribution overviews.

📊 Turnover rate filtering and visibility – View inventory turnover rate per style and filter on it in replenishment and redistribution overviews to quickly identify slow- and fast-moving items.

🎯 Stock targets separated from redistribution – Stock target views have been removed from the redistribution overview, clearly separating long-term stock planning from short-term redistribution actions and reducing confusion during daily operations.

Replenisher:

Automatically create stop proposals for an entire style when too many sizes are affected

Use case
As a merchandiser, you may see stop proposals generated for several individual sizes of the same style at a specific location. When this affects a large part of the size curve, the style is effectively no longer viable for that store. Continuing with partial stops results in incomplete stock targets, fragmented delivery behavior, and unnecessary redistributions later on.

Solution
A new configurable rule automatically applies a consistent stop decision when stop proposals affect more than a defined percentage of a style’s sizes for a location. This prevents fragmented outcomes across the size curve and ensures replenishment decisions remain coherent and operationally efficient.

Default behavior remains unchanged, as the threshold is set to 0% by default.

How it works

• Set a threshold percentage of affected sizes in the Stop replenishment Engine.

• During Stop replenishment engine run, the engine evaluates how many sizes of a style receive stop proposals.

• When the configured threshold is met or exceeded, the stop replenishment logic is applied consistently across the full size curve.

Location Overview (BETA)

A new Location Overview (Beta) is now available for everyone. This release includes the details of the active styles per location. You can quickly see the current stock, stock target, total sold, in proposal and in transit per location/sku. On location/style level you can see This week sales, Last week sales, YTD sales and Sell through %.

Location-level exception min / max values

Use case
As a merchandiser, you want to fine-tune stock targets for specific locations. While merchandise category min/max values work in most cases, some stores require different thresholds due to size, capacity, or local demand. Without location-level control, these exceptions are hard to manage.

Solution
We added exception min and max values at location level in the delivery settings. When filled in, these values become the leading input for stock target calculations for that location and override the min/max values defined on the merchandise category.

Filter on Style attributes

Use case
As a merchandiser, you want to segment and manage styles based on business-specific item style attributes , such as target groups. These attributes are often defined outside the standard merchandise hierarchy.

Solution
We introduced Style Attributes as a filter across the replenishment and redistribution operational views. This allows you to filter styles using attributes like target group directly in the portal, with a clear and consistent filter experience aligned with existing filters.

Filter on Turnover rate

Use case
As a merchandiser, you want to quickly assess how efficiently inventory is selling through. The inventory turnover rate is a key indicator to decide whether a style should remain replenished, be slowed down, or be redistributed to another location.

Solution
We added Inventory Turnover Rate as both a filter and a visible KPI per style in the Replenishment and Redistribution overviews. This makes it easy to identify slow- and fast-moving styles and take immediate, data-driven actions

Stock targets pop up separated from redistribution

Use case
As a user, you work with redistribution to make short-term, operational decisions, while stock targets are used for longer-term planning. When both are shown in the same overview, it becomes harder to stay focused and increases the risk of mixing strategic planning with immediate actions.

Solution
We separated the stock targets view from the redistribution overview. Redistribution screens now focus purely on short-term redistribution decisions, while stock targets are managed in their own dedicated context. This clear separation helps users work faster and with more confidence. The stock targets pop up remains visible in the replenishment overview.