1.39.0 - Release notes 4 Feb 2026

WAIR - Customer portal

Introduction

This release focuses on improving operational insight, filtering precision, and decision confidence across Replenishment, Redistribution, and reporting. We introduce more granular control over how stock and sales data are visualised, allowing merchandisers and planners to focus on the most relevant locations, styles, and time horizons without distraction from non-actionable data.

In addition, this release strengthens day-to-day workflows with powerful new filtering capabilities, bulk item code selection for power users, clearer redistribution context through DC stock visibility, and the first Beta version of Executive Reports. Together, these improvements reduce noise, surface critical context earlier, and support faster, more confident operational and strategic decisions across teams

TL;DR:

🏷️ Filter stock graphs by location type – Choose which location types appear in Operations stock graphs and automatically exclude their stock from totals for a cleaner, store-focused view.

📆 Rolling year sales visibility – View total units sold over a rolling year alongside last-6-weeks sales to better assess long-term demand and seasonality.

🏬 Filter by stock in sales locations – Filter styles based only on stock in sales locations, excluding warehouse stock for more relevant commercial insights.

📋 Bulk paste Item Codes – Paste large lists of Item Codes into the filter at once, with automatic detection, validation, and selection.

📍 Location-level filters in style details – Filter style performance by location, location type, store cluster, warehouse cluster, and active status for faster analysis.

🎯 Style-level filters in location details – Filter styles within a location by category, brand, season, collection, item code, and description for more accurate overviews.

🏬 DC stock shown in Redistribution Overview – See total warehouse/DC stock per style directly in the overview to better judge if redistribution is needed.

📊 Executive Reports (Beta) – Monthly KPI scorecards from Wallie with year-over-year comparisons, insights on what’s working, limitations, and a clear conclusion.

Replenishment & Redistribution:

Use case
As a merchandiser, you want to focus on the performance of your stores in the Replenishment and Redistribution Operations overviews. When warehouse and non-store locations are included in the stock graphs, the data becomes cluttered and makes it harder to interpret store-level performance accurately.

Solution
We added a new setting that allows users to control which location types are shown in stock graphs within the Operations overviews. By hiding warehouse or other non-relevant location types, merchandisers can focus on store performance without losing clarity or accuracy in total stock calculations.

How it works

• Navigate to Replenisher → Context → General

• Open the Operations View tab

• Configure the Stock Location Types setting

• By default, all location types are enabled

• When a location type is unchecked:

  • Its stock is hidden from the stock graph

  • Its stock is deducted from the total shown in the graph

This gives merchandisers a cleaner, more focused operational view, improves store-level performance analysis, and prevents warehouse data from distorting operational insights.

Use case
As a merchandiser or replenishment planner, you want to understand long-term sales performance, not just short-term trends. Without visibility into total units sold over a rolling year, it is harder to assess overall demand, seasonality effects, and longer-term performance when reviewing operational data.

Solution
We added visibility of the total number of units sold over a rolling year to the Operations overviews. This complements the existing short-term sales metrics and provides a clearer, more complete view of sales performance over time.

How it works

• Navigate to a Replenishment or Redistribution Operations overview

• Sales charts now display:

  • Total units sold in the last 6 weeks

  • Total units sold over a rolling year

• The rolling year value continuously updates based on the current date

• Both metrics are shown alongside the sales trend graph for easy comparison

Use case
As a merchandiser, you want to quickly identify styles that have stock available in sales locations, without warehouse stock influencing the results. When warehouse and sales stock are mixed, it becomes harder to filter and act on styles that are actively available for selling.

Solution
We introduced a new filter that allows users to filter styles based on stock in sales locations only. This filter excludes warehouse stock, giving merchandisers a more accurate view of what is actually available in stores and other sales channels.

How it works

• Open the Replenishment or Redistribution Operations overview

• Use the new Stock in Sales Locations filter

• Set a minimum and/or maximum stock value using the slider or input fields

• The filter evaluates stock exclusively in sales locations

• Warehouse stock is excluded from the calculation

This improves stock visibility, makes filtering more relevant for commercial decision-making, and helps merchandisers focus on styles that are actively available for sale across channels.

Use case
As a user, you often work with large lists of Item Codes coming from Excel sheets, planning tools, or external systems. Selecting these Item Codes one by one in the filter is slow and error-prone, especially when managing workflows such as NOOS items or large assortments.

Solution
We extended the existing Item Code filter with bulk paste support. Users can now paste multiple Item Codes at once, allowing the system to automatically detect, validate, and select matching values, without changing the existing search and selection behaviour.

How it works

• Paste a list of Item Codes into the filter input (or use the paste option)

• The system automatically:

  • Splits the input using common separators (new lines, commas, semicolons, tabs, or pipes)

  • Trims and de-duplicates values

• All valid Item Codes are selected automatically

• Feedback is shown indicating:

  • How many Item Codes were detected and selected

  • Which Item Codes were not found

• Invalid values can be removed while keeping the valid selection

This significantly speeds up power-user workflows, reduces manual errors, and makes it easier to work with large Item Code lists sourced from external tools, without disrupting existing filter behaviour

Use case
As a merchandiser, you want to quickly analyse the current stock, sales, and performance of a style across specific groups of locations. Without filtering options at location level, reviewing large assortments becomes time-consuming and makes it harder to focus on the most relevant stores or warehouses.

Solution
We added a set of location-level filters to the Style Details view. These filters allow users to narrow down the visible locations based on operational and organisational criteria, making it easier to analyse performance and act on the right data.

How it works

• Open the Style Details view from Replenishment or Redistribution

• Use the new filters to refine the visible locations:

  • Location (by code and/or name)

  • Location type

  • Store cluster

  • Warehouse cluster

  • Active (Yes / No)

• The Active filter applies to active or inactive style–location combinations

• The location list and related data update instantly based on the selected filters

This enables faster analysis, reduces visual noise, and helps merchandisers focus on the locations that matter most for operational and commercial decision-making.

Use case
As a merchandiser, you want to quickly analyse and compare styles within a specific location context. Without the ability to filter styles in the location style details view, it becomes harder to get an accurate overview when working with larger assortments or multiple collections.

Solution
We added style-level filters to the Location Style Details view. These filters allow merchandisers to narrow down visible styles based on key assortment attributes, making it easier to focus on the most relevant styles for each location.

How it works

• Open the Location Style Details view

• Use the new filters to refine the visible styles by:

  • Item code

  • Item description

  • Category

  • Brand

  • Season

  • Collection

• The style list updates instantly based on the selected filters

• Filters can be combined to create highly targeted views

This improves overview accuracy, reduces noise in large assortments, and helps merchandisers work faster and with more confidence when analysing location-level performance.

Use case
As a merchandiser, you want immediate visibility into the total warehouse (DC) stock when reviewing redistribution proposals. When DC stock is not visible at the overview level, it becomes difficult to judge whether redistribution is actually needed, whether replenishment could resolve the imbalance, or if redistribution is being triggered too early.

Solution
We added visibility of the total DC stock level directly to the Redistribution Overview. This ensures users have immediate context about available warehouse stock before opening a detailed redistribution recommendation, removing guesswork and increasing confidence in redistribution decisions.

How it works

• Open the Redistribution Overview

• For each style, the overview now displays the total DC stock level

• The value is shown as a simple total (e.g. DC stock: 54 units)

• If no warehouse stock is available, this is clearly indicated (e.g. DC stock: 0)

• The value uses the existing consolidated DC stock data already available in the system

Use case
As a merchandiser, planner, or manager, you want a high-level, recurring overview of how your business is performing on key KPIs. Without a structured monthly summary and interpretation, it is difficult to quickly assess performance trends, understand what is working well, and identify areas that need attention.

Solution
We introduced the Beta version of Executive Reports. These reports provide a monthly performance overview based on core KPIs, including clear scoring, interpretations, and conclusions generated by Wallie. Each month’s performance is compared against the same KPIs from the same month in the previous year, providing meaningful year-over-year context.

How it works

• Navigate to Executive Reports (Beta) in the portal

• For each month, the report includes:

  • Scores on key KPIs (such as Availability, Sell-through, GMROI, Stock Efficiency, and Correction Ability)

  • A clear interpretation per KPI, explaining performance changes

  • Indicators highlighting what is working well

  • Identified limitations or risk areas

  • A concise monthly conclusion summarising overall performance

• All KPIs are compared year-over-year with the same month from the previous year

This gives teams a clear, structured performance narrative, reduces manual analysis, and supports faster, more confident decision-making at an executive and operational level.