Macro Space Optimisation
MSO is a platform that connects performance, space and range data. Built by space planners to drive more sales.
Three steps from data to decision. No spreadsheets, no guesswork.
MSO integrates with your existing data sources and brings them into a single trusted view.
Your data is handled automatically and system settings are all securely gathered and stored for you - there is no manual effort required.
Plus you can set the settings to exactly what suits you and your business.
With one click, your report is processed in the cloud, ensuring fast, reliable performance. MSO is quick and consistent.
When you create a report, the system automatically pulls together the exact data you need based on your chosen location, date range, and settings.
Category-level dashboards show where space is over or under allocated based on actual trading performance.
Once the report is ready, you can instantly view it on-screen, apply filters, make adjustments, and tailor it to your needs before exporting everything neatly into Excel.
Recommendations are grounded in evidence - unlike traditional processes, MSO uses granular data, not averages of previous performance.
You can analyse space for a single store or estate wide.
MSO has been built around what we know retailers need from having worked in the role ourselves.
Live connection to EPOS and trading data. 100% web based, can be run on any device with internet access. MSO is quick and consistent: store space analysis and upside financials are produced in 5-6 minutes.
Depth of experience in working on space planning and years of knowledge of how products best perform and the guidelines they need to follow, including HFSS compliance.
Model space changes by category, compare scenarios side by side, and see the projected impact before you commit. Space lock lets you fix space to a category or store, or to any other parameter you define, so protected space stays exactly where you want it.
Groups stores by performance, profile, format or region. No more one size fits all - apply projections based on cluster logic to better inform output recommendations actionable at shop or estate level, not necessarily defined by grade or space but also by demographic or category performance.
MSO combines your space and range data, so you can see how much room each product has and how it performs. Category performance is visible at store, region and estate level, and you can filter by week to exclude anomalies. Outputs are quick to generate and fully adjustable, so you can re-run them to optimise for a different metric blend.
In the live environment MSO has consistently improved performance compared to previously used solutions, using 'what if' analysis and rapid recalculation. You can export recommendations, comparisons and performance summaries that work for board presentation and operational teams alike.
Discover how MSO could benefit your business across a range of real-world scenarios.
The situation
A category review is due by Friday, and the data sits across several spreadsheets. Performance, space and range information are held in different places, which makes it hard to trust the full picture and slow to act on it.
With MSO
MSO brings them together in one view. Planners can model a space change and see the projected impact before committing, with HFSS compliance visible throughout. The result is a recommendation supported by evidence, ready to present with confidence.
What you get
The situation
A board meeting is coming up, and the question on the table is where space is really earning its keep. Without a clear view across the estate, answers rely on instinct and the loudest voice in the room. That makes it hard to know where a change would make the biggest difference.
With MSO
MSO shows how space is performing across every store and region, and highlights where reallocation would drive the most value. Recommendations are backed by evidence and ready to present with confidence.
What you get
The situation
A category is asking for more space, and the question is whether the sales will follow. Too often the case for change is built on operational detail alone. That makes it hard to show how space allocation actually affects trading performance, or to justify the investment.
With MSO
MSO connects the two. It shows how space relates to sales, so the commercial case for change is clear, not just the operational one.
What you get
As part of the initial implementation, we work with your data and information security teams to set up simple but robust scheduled data transfers. These generally happen on a weekly basis, although we can work with any data cadence.
Our system architecture allows us to accept data from a very broad range of sources, including SQL databases, data lakes, space planning systems, ERP systems or even CSV files.
The following datasets are required to run MSO effectively. In some cases, it is possible to synthesise some of the data from alternate sources.
Yes. MSO works from your hierarchy, whatever shape it is - departments, temperature regimes, double-named levels and all. Nothing needs renaming to fit the tool.
Your own trading data. MSO weighs sales, space and elasticity per category, and every recommendation can be opened up to show exactly how it was calculated.
MSO runs against specific data for the store being analysed. It also compares this store with others in the same cluster (grade), ensuring that you are always comparing apples with apples.
Yes. You can store a percentage sales trend, positive or negative, against each category at any level. This is applied to the historic sales data before calculating space recommendations.
Not a generic demo. We will connect your actual data sources and show you what MSO reveals.