The story behind FASHIONBOARD
It all started in 2017 when Dennis Møller (Owner and Lead Architect at Millers) got in touch with Bestseller A/S.
Together, they developed a NOOS platform that could ensure even better inventory management, as the forecast was based on advanced algorithms built on top of existing customer, supplier, and transaction data in their ERP system
This way, Bestseller A/S could better manage their inventory and ‘gamble,’ while also taking into account supplier lead times and MOQ rules, among other factors.
We have since then worked on functionality, user-friendliness, and further developed it into what we today call FASHIONBOARD Demand Planning. Since then, two additional systems have been added: Style Investment and Replenishment.
Selected references
FAQ
Here are some of the questions we are frequently asked.
General
The idea arose in 2017 when the Bestseller A/S group contacted Dennis Møller. Bestseller A/S experienced challenges with their existing ERP systems and inaccurate forecasts, especially when it came to calculating the size mix on styles. In addition, predicting needs with long lead times from the East was a challenge.
The FASHIONBOARD modules can in principle run on any ERP platform that allows data export. That includes NAV/Business Central, Axapta-based ERP, ASpect4 (EG), SAP, and more.
ERP systems often require customization, which is expensive and time-consuming, to perform these calculations. Excel can be difficult to manage and debug, and it also has limitations regarding real-time calculations and handling large amounts of data. The FASHIONBOARD modules are more flexible, user-friendly, and integrate more easily with data from various sources. FASHIONBOARD is also tailored for use in the fashion industry with its specific challenges.
Yes, FASHIONBOARD can export the purchase proposals to Excel or comma-separated files. If integration is set up with the ERP system, you can export the proposed cart directly as purchase orders.
Yes, the entire data model can be exported to the cubes in Excel or PowerBI for further analysis.
From Demand Planning, results are typically seen after 6-12 months with a reduction in inventory size and improved availability. Typically, inventory levels can be reduced by 20-30% and Availability increased by 10-20%.
We believe that solutions improve when we have an understanding of your workflow, business model, and challenges. In short, it means that we listen to your challenges and collaborate with you to find solutions. Based on this, we provide solutions that address your problems and challenges, and even go beyond.
Prices
The pricing model is based on the number of active EANs. By active EANs, we mean those that are assigned to a planner and not blocked.
Already at around 500 EANs, the need begins to arise as updates in Excel become challenging. FASHIONBOARD Demand Planning can handle between 500 and 50,000 EANs (styles, options, and sizes). Exactly, the size mix is crucial for sales success, and the program drills down to individual styles to assess this.
FASHIONbOARD demand Planning
FASHIONBOARD Demand Planning utilizes a dynamic data model that considers multiple parameters such as customer orders, inventory levels, lead times, MOQ, and seasonality. It provides recommendations for purchase orders and size distribution for each style, resulting in optimized inventory sizes and higher availability.
The program generates an overview of upcoming weeks with inflows and outflows in the warehouses based on an advanced forecast algorithm and suggests purchase orders based on the calculations. The result is reduced inventory holding and increased availability, leading to higher sales.
Typically, we see results after 3-6 months with a reduction in inventory of 20-30% and an increased availability of 10-20%.
Additionally, there are several ”Early Warning” features that can alert the buyer to unusual events that require action – for example, sales of large batches that bring forward the Out-of-Stock (OOS) date. Or purchase orders that are not necessary because the inventory extends further into the future than initially anticipated.
Yes, FASHIONBOARD Demand Planning is easy to get started with, and it offers a clear dashboard. Procurement functions can be up and running within 1-2 weeks since all relevant data is centrally located.
A strong reporting package supports both management and procurement functions to continuously monitor inventory development, Week Cover, and Availability for individual styles.
FASHIONBOARD Demand Planning monitors statistically unexpected orders and generates a list of these orders. You decide whether they should be included in future forecasts or excluded. Similarly, the program can account for Stock Outs in previous periods to prevent them from recurring in future forecasts.
Yes, there is ongoing development of new features. The latest features include:
- Last Minute changes – Overview of submitted purchase orders and the ability to modify them based on recommendations from FASHIONBOARD Demand Planning
- Container Fill-Up – If the container is not fully filled, FASHIONBOARD Demand Planning can suggest which products to include now to fill it completely. This may involve adjusting styles already placed in the cart as well as suggesting other styles.
- Supplier Closed Days – FASHIONBOARD Demand Planning takes into account, for example, Chinese New Year, and calculates the needs and purchase proposals accordingly. when it is closed.
- Dynamic Season Profiles: FASHIONBOARD Demand Planning monitors seasons and the styles associated with each season profile. If they don’t fit the selected styles, FASHIONBOARD Demand Planning will notify you to create a new season profile or move a style to another profile. For seasonal styles, it is crucial for the forecast.
- Through the settings, there is an opportunity to make individual strategic purchasing choices within the various categories or subcategories. FASHIONBOARD Demand Planning can differentiate between product groups and determine how aggressively to make purchases or how cautious one wishes to be.
- Strong ABC analyses focus on the largest and best-selling styles in terms of Availability – another way to consider your purchases. AA items must never be out of stock – CC items may have a completely different approach.
- Fabric Management – This module allows you to maintain an overview of the fabrics you have either purchased or committed to with the supplier. If it’s used in multiple styles across, FASHIONBOARD Demand Planning calculates the inventory of the selected fabric.
FASHIONBOARD Demand Planning offers a robust and systematic process for forecasting and purchase suggestions. It is cost-effective to operate and implement as it pulls relevant data from existing ERP systems along with the settings you configure together with Millers A/S.
FASHIONBOARD looks ahead 26-52 weeks and can predict the development of the most important key metrics:
- Inventory levels and values
- Week Cover and Availability per style and sizes (inventory turnover rate)
It calculates the right size mix and informs if there is “overbuying” in relation to always updated inventories and forecasts. FASHIONBOARD creates transparency, overview, and systematics, leading to better results in inventory management and purchasing within the fashion industry.
FASHIONbOARD Style investment
Style Investment gathers all sales data on styles and customers as it occurs in your ERP system. Then you can compare styles from previous collections to find the post-sale behavior that forms the replenishment forecast.
The result is that Style Investment calculates the total collection orders for styles and sizes, so you have inventory for both the initial sales orders and the subsequent sales in the right styles and sizes mix.
Style Investment is actually both a purchasing and disposition tool. It’s possible to track the sales as they happen, benefiting the sales department. At the same time, Style Investment can monitor sales and keep an eye on styles that may approach the MOQ danger zone, providing input for purchasing. Then the system follows the collection all the way to the end, where it can continuously alert about sales that are not going as expected, sold-out items, and of course, provide a comprehensive financial overview of the entire collection in terms of revenue and earnings.
There are many different terms used for this in the industry. But fundamentally, it’s the share of a collection that one chooses to buy beyond the sales orders. It encompasses the sales that follow in the post-collection period while the collection is already in stores – and of course, the replenishment customers want to make once sales in the stores are underway. With forecast algorithms, comparable styles, and customers’ typical behaviors, Style Investment can calculate the actual need – down to size mix, which differs from initial sales to replenishment.
No, you choose which styles you want to gamble on by buying extra compared to the initial sales. Style Investment provides purchasing suggestions for the styles that make sense to take a risk on. It’s important to emphasize that these are only suggestions, and the system will never enforce anything without user intervention. By providing a suggestion, the risk can be better assessed between sales, procurement, and management.
Yes, Style Investment continuously monitors and generates forecasts so you can always see where sales are in relation to the MOQ thresholds for each supplier and on each style.
Part of our customers do not have a formal CRM tool, ensuring that all customers are planned and followed up on. FASHIONBOARD Style Investment therefore offers the option to use the built-in CRM functionality. This way, an overview of customers’ visit status is created, making it possible to plan directly within the system, which integrates with Outlook. Style Investment helps prioritize the sequence of visits, as customers with the highest turnover are prioritized over those with less. Keep track of which customers have placed an in-sales order and also get an overview of the To Do’s created in connection with customer meetings – whether it’s during visits to the showroom or at the customer’s location.
The algorithm powering Style Investment looks at both the actual sales, comparable styles from other collections, and the distribution of sales across customers and countries. That way, the size mix is calculated. Additionally, consideration is given to the fact that replenishment sales typically focus on the middle sizes (S, M, and L), while initial sales are spread across all sizes (XS, S, M, L, and XL).
Yes, no problem. The idea of the program is precisely that you continuously deselect styles that should not be included in the final collection. For this, we have several tools.
The rating module is typically used in connection with the internal presentation of the collection. Invitations are sent out to relevant individuals who can assess each style on a scale from 1-5. Some choose to do it while they are in the showroom, so they can feel and touch the styles, but others do it independently of that. Once all invitees have rated the collection, the styles that scored lowest can be sorted out. This way, salespeople don’t need to spend time and energy presenting styles to customers that are ultimately sorted out.
It’s also possible to cancel a style during the sales process if, for example, it has sold exceptionally poorly after some time. By canceling the style, the sales team knows that it is not part of the final collection and can therefore refrain from presenting it to customers. It minimizes the number of orders for styles that end up being canceled.
No, it’s not necessary. You can easily omit certain functionalities (such as ratings, CRM functionality, and the budget module). Style Investment calculates the expected sales solely based on the incoming sales and the comparable styles you have set up.
Ratings allow for a quick user survey where selected users rate individual styles. This way, you get a quick sense of taste and preferences among customers.
Yes, it is possible to extrapolate the expected sales. The extrapolation is based on the incoming sales orders received so far, taking into account the customer type, size, typical behavior, and usual order size.
Yes, it is possible to input your budget into Style Investment. That way, it’s possible to compare the purchases for the final collection (including gambling) against the budget, and through the forecast, see if it’s possible to hit the budget. It is also possible to import a collection budget from existing systems such as Excel and PowerBI, and similar ones.
Yes, it is possible to convert the figure into an expected sales value when ready to press the “purchase button” – and also compare it with the original budget that Style Investment can also contain.
Style Investment contains a set of reports that can ensure that the sales and purchasing departments can align expectations and ensure that purchases are made based on an approved sales forecast – a forecast that the sales department has approved.
Yes, Style Investment will continuously generate new forecasts based on the orders received after the purchase and create a new forecast. Therefore, you can also monitor items that don’t sell as expected or items that run out of stock more quickly compared to the purchased inventory.
Innovative software solutions for the fashion industry
FASHIONBOARD is a suite of Danish-developed SaaS solutions that focus on optimizing the purchasing and planning processes in the fashion industry. The modules Demand Planning for NOOS items, Style Investment for collection sales, and Replenishment for the movement of goods between stores lay the foundation for optimized inventory, increased availability, and enhanced sales efficiency.
FASHIONBOARD is a suite of Danish-developed SaaS solutions that focus on optimizing the purchasing and planning processes in the fashion industry.
The modules Demand Planning for NOOS items, Style Investment for collection sales, and Replenishment for the movement of goods between stores lay the foundation for optimized inventory, increased availability, and enhanced sales efficiency.
A part of Millers
FASHIONBOARD consists of three modules and is developed by Millers. Millers is a Danish software development company located in Vejle. With more than 25 years of experience in business intelligence, planning, and logistics, FASHIONBOARD is developed specifically for the clothing and fashion industry.
At Millers, our approach to customer relationships is to understand your challenges, workflow, and business model before we start coding the solution. This way, we deliver the best results – often even more than what was initially requested.
FASHIONBOARD isn't better than humans, but it can make humans better.
We provide buyers with the tools to make the right decisions by creating an overview and utilizing historical data.
Combined with human experience, this leads to stronger processes and better results.
We provide buyers with the tools to make the right decisions by creating an overview and utilizing historical data. Combined with human experience, this leads to stronger processes and better results.