OPTIMIZE PRICING

Markmi. The AI-Driven Markdown Assistant for Fashion Retail Teams

Protect your margins and achieve sales targets with an AI-driven assistant that delivers optimal price markdown recommendations for every item in your catalog, exactly when you need them.

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Why?

Why do fashion retail teams need AI-driven markdown recommendations?

Setting the right end-of-season discounts is a complex and high-stakes task. With so many items to manage and the uncertainty of how markdowns will impact sales and margins, it’s easy to fall back on rule-of-thumb pricing or repeat last year’s strategy, hoping for the best.

Tailored AI-driven markdown recommendations change the game. Discover how they can help you make smarter, more confident pricing decisions and drive better outcomes. Read on to find out why Markmi can make all the difference!

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Meet The Assistant S
MEET MARKMI

Access tailored markdown recommendations & insights that drive profitability

With Markmi’s AI-driven assistant, you can access precise markdown suggestions in an instant, customized to your unique business needs. By analyzing historical data, current season performance, and applying your business rules, Markmi helps you align each markdown decision with your strategic objectives.

Markmi automates time-consuming tasks, predicts the impact of each markdown, and helps your team make smarter, faster decisions. The result? Better profitability and a markdown process completed in half the time, giving your team the agility it needs to stay ahead.

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PRODUCT TOUR

Sell, don’t shelve

Say goodbye to endless spreadsheets and manual data crunching. Meet the AI assistant that handles the heavy lifting for you. No more guesswork—just data-driven recommendations and insights that bring you closer to certainty with every decision. Let’s dive into how it works.

Easily Customizable Business Rules

Tailor business rules to fit your unique operational needs, your unique flavor. From discount thresholds to inventory preferences, Markmi adjusts seamlessly to your specific requirements, delivering precise, personalized markdown strategies every time.

Unique Multiple Scenario Analysis

Markmi's powerful multiple scenario analysis feature provides flexibility and control throughout the sales season, allowing teams to create up to three scheduled markdown phases with distinct business rules and objectives. By factoring in forecasted demand and inventory levels, it reduces unnecessary price cuts and maximizes profit. Fashion retailers can test and adjust strategies in real time, minimizing risk and ensuring alignment with business goals.

AI-Driven Sales Forecasting
Predict how different price points and markdowns will impact your sales, inventory, and margins. Leverage advanced AI models trained on years of fashion retail data to make smarter, data-driven decisions.

Tailor business rules to fit your unique operational needs, your unique flavor. From discount thresholds to inventory preferences, Markmi adjusts seamlessly to your specific requirements, delivering precise, personalized markdown strategies every time.

Define Strategy

Markmi's powerful multiple scenario analysis feature provides flexibility and control throughout the sales season, allowing teams to create up to three scheduled markdown phases with distinct business rules and objectives. By factoring in forecasted demand and inventory levels, it reduces unnecessary price cuts and maximizes profit. Fashion retailers can test and adjust strategies in real time, minimizing risk and ensuring alignment with business goals.

Scenario
Predict how different price points and markdowns will impact your sales, inventory, and margins. Leverage advanced AI models trained on years of fashion retail data to make smarter, data-driven decisions.
Meet The Assistant
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Introducing Bulk Strategy Configuration

Save time by setting up and executing bulk markdown strategies for thousands of products in minutes. Our platform's automation speeds up the process, allowing you to react quickly when needed.

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Product-Level Pricing Optimization

Tailor your pricing strategies to the unique attributes and performance of each product. Markmi’s product-level optimization ensures that every item receives the most effective markdown, maximizing both sales and profitability.

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Granular Profitability Metrics

Markmi delivers detailed financial insights at the product level, empowering you to make data-driven decisions. Track profitability across your catalog with precision, ensuring each markdown contributes to your overall financial objectives.

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Intuitive Interface with Customizable Dashboards

Markmi offers an easy-to-use interface tailored to the fashion markdown process, allowing you to implement strategies effortlessly. Its customizable dashboards and performance metrics help provide a clear view of your key indicators.

What our users say

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“What I like most about Markmi is how easy it has become to talk with my team, using the clear summaries the tool provides. With that knowledge, I can confidently step to our board to make well-informed strategic choices.”

 

 

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Rose Smits

Omnichannel & Trade Director, Scotch & Soda

torfs

 

“We were able to achieve a +30% revenue & +8% margin increase, applying the price markdowns suggested by the solution”
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Luc De Baets

Buying Director, Torfs

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CLIENT TESTIMONIAL

Learn how the Crunch Markdown Assistant transformed setting price markdowns at Scotch & Soda

In this video, Rose, Omnichannel & Trade Director, and Marijke, Planning & Buying Manager, at Dutch fashion retailer Scotch & Soda explain why they chose to introduce the Crunch Markdown Assistant and how it enabled the team to make confident decisions in challenging times.


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How we introduce Marki
to your teams

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We setup the appropriate connections between systems

Once the contract is signed, we integrate your retail data, including inventory, sales history, and discounts, into our platform. The system is then customized to your business rules and KPIs, ensuring the data is ready for our AI-driven assistant to optimize your markdown strategies.

-> Book your meeting
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We ensure your team is equipped to leverage the tool.

Our training equips your team to effectively use the tool, covering configuration, interpretation, and best practices for maximizing results. After setup and interpretation training, your team is fully prepared to execute markdown strategies and maximize the tool’s capabilities.

-> Book your meeting
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We capture your data in real-time for continuous optimization.

Our system continuously captures real-time data on stock levels, sales performance, and customer behavior, including product returns. This enables ongoing optimization and refinement of your pricing strategies through the assistant.

-> Book your meeting
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We activate the AI assistant with your data.

We begin with a soft launch to test and fine-tune the system in a controlled environment, working closely with your merchandising team to ensure optimal configurations. The final launch follows, marking the full deployment with trained users and a fully optimized system ready for seamless operations.

-> Book your meeting
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We roll out & launch the solution.

The AI assistant is fully rolled out across your markets, with our team providing ongoing support to ensure smooth technical integration and strategic decision-making. We conduct weekly check-ins post-launch to ensure objectives are met and to assist your merchandising team with strategy configuration and interpretation.

 
-> Book your meeting
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We provide post-launch support

We offer continuous support after launch, helping refine your markdown and pricing strategies to align with market conditions and your KPIs. Quarterly business reviews assess the assistant's effectiveness and explore further optimizations, while regular product updates ensure you benefit from new features, with your feedback shaping our development roadmap.

-> Book your meeting

FAQs

What are price markdowns in retail?

A price markdown or retail markdown is the permanent reduction of the selling price of an item, to anticipate the end of its presence in a retailer’s seasonal or overall assortment. It is typically used to clear out inventory or stock by the end of a season or the end of its life cycle.

Contrary to regular discounts or promotions which are often ‘temporary discounts’ or aimed at a specific customer segment, price markdowns are ‘permanent discounts’. They are used at the end of a season - or the end of a product life cycle - to increase sales velocity and sell out the item by a given end date.

In some retail & e-commerce sub-sectors such as fashion, price markdowns are essential as the assortment is seasonal & trend-sensitive, and the residual value of a given item can be a mere fraction of what it was at the peak of the season. In customer electronics, on the other hand, there is the pressure of technological advancements that impacts the life cycle of a product.

How should I understand the term 'markdown optimization'?

Markdown optimization is the process of setting the appropriate markdown at a given moment in time. Every retailer needs to balance the impact of a price markdown on the sale of that item.

If a price markdown is too high, the item might start to fly off the racks. Such creates turnover but might clear out stocks before the end of the season. And it probably cuts too deep in margins. The retailer is confronted with empty shelves or has to mark the item on its webshop as ‘out-of-stock’, possibly losing clients to another retailer.

If a price markdown is too low, the stock clearance may take too long and leave a retailer with left-over inventory that has lost a large portion of its value. The loss in turnover might hamper the retailer's ability to purchase enough inventory for the next season to come.

Our markdown optimization solution, therefore, suggests what the most optimal price markdown is, week over week. Gathering a tremendous amount of data on all items, it applies machine learning algorithms to predict how customer demand will respond to a given markdown. As we sift that information through various business and operational filters and match it with more recent data, price markdown suggestions emerge.

How will you ensure that this markdown optimization works for my specific organization?

Every retail or e-commerce operation has a unique situation in which it operates. Be it business and operational constraints or specific strategic rules. That is why we take you through the various step with both technical & sector-specific business experts.

How does the markdown algorithm work?

There are several components to the markdown algorithm. The core of the algorithm is responsible to predict future demand at different markdowns percentages.

In short, it will detect patterns in price elasticity and sales seasonality for previous sales seasons. Afterwards, those trends will be applied to the new collection. These future sales predictions will be combined with the sales performance of the new collection and the remaining inventory level for each product.

Finally, an optimization model will determine the best possible markdown for every product, while taking into account operational constraints such as a maximum markdown percentage per product group.

How many years of sales history do we need for the algorithm?

The absolute minimum would be 1 or 2 years of sales history. In the perfect scenario, we can use 4 or 5 years. 

How will Crunch ensure my team is on board?

For retailers taking the step to introduce a new piece of software that is able to partially or even entirely take over tasks, it is important to get the full team on board.

In the initial stages of a project, we ensure that the objectives of both the business and technical stakeholders are aligned.

Next, we’ll go through an onboarding process together, going from the initial data connection to the final delivery of markdown recommendations for the new collection.

Along the way, we’ll have several touchpoints and training sessions to make sure the merchandise team is fully up to speed and can use the tool independently.

If I want to have the tool ready for the next sales season, when do I need to get started?

Each situation is different, as retailers currently work with a variety of systems in a variety of environments. Yet, we are convinced that we can get most projects up and running in 4-6 weeks' time.

Still have a question?

Do not hesitate to contact us!