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Predictive demand analytics for large B2C companies 

Cater your customers with the offering they need

We help you analyse and predict relevant market demand beyond your current offering 

Know what your customers want and answer to their real need

Discover
online demand forecast

Discover key market insights to understand what your customers want, stay ahead of trends, and make informed decisions that guide your success.

Analyse
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Explore category analysis to gain a comprehensive view of your current market conditions and better understand the broader context.

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Understand

Visual data allows for quick and intuitive interpretation of complex information, making it easier to identify patterns, trends, and insights.

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Predict

Predict the future using real-time online search demand data that covers all categories and products. Plan your offering more accurately and sustainably.

Turn category online demand into on-demand offering with demand forecasting

Case example: UK Women's Jeans demand structure

Maire improves decision-making and identifies emerging trends for Finland's largest retailer SOK

"We needed a solution to help us better understand market demand, so we implemented Maire across our planning categories to enhance decision-making and stay ahead of emerging trends. By integrating Maire’s data into our planning tools, we enhance our forecasting accuracy."

Niko Pesonen, Vice President of Sales

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Clients creating an unfair competitive edge with Maire

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Identify category demand structure

Understanding the category demand structure and what customers want is crucial to be able to tailor your offering and meet market needs. By comparing different categories, you can identify which areas are thriving and uncover potential growth opportunities. 

Women's Jeans Sub-Category

Case example: Women's Jeans subcategory demand structure

Detect fastest growing and declining categories

Detecting the fastest growing and declining categories helps identify which aspects of your offering are gaining traction and which are losing relevance. By closely monitoring these trends, you will ensure you stay aligned with market dynamics and consumer preferences.

Women's Jeans Sub-Category growth-min

Case example: Women's Jeans subcategory annual growth

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Identify what's missing from your offering

By recognising these missing elements, you can expand your assortment to meet unmet consumer needs, capture new market segments, and enhance your competitive edge.

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Category analysis. Categories missing from offering-min

Case example: Women's Jeans subcategory demand structure

Observe demand seasonality

Observing demand seasonality through search data allows you to identify patterns in consumer interest that fluctuate throughout the years. By analysing this data, you can anticipate peak times for certain products or services.

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Case example: Capri Jeans category seasonality timeline

Predict future demand

Using four years of historical search data and forecasting models, businesses can predict future demand by identifying trends and patterns. 

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capri jeans demand forecast

Case example: Capri Jeans category demand forecast (18m)

Plan more sustainably by preventing over and understocking

By optimizing inventory, you can lower your carbon footprint, ensure product availability, boost profitability and support environmental responsibility.

Prevent over- & under stocking

Case example: UK Coats & jackets demand timeline

Discover brand demand per category

By examining these patterns, you can improve the brand spread of your product offering, and better allocate resources to make sure you are bringing the most demanded brands to your customers.

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Case example:  Women's Jeans brand demand analysis

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Identify product mix discrepancies

By pinpointing mismatches —such as overstocked items, underrepresented categories, or outdated products— you can adjust your offering to better align with customer preferences. 

Category analysis. Brands missing from offering-min

Case example: Women's Jeans brand demand

Track the demand of your complete offering in realtime

Grasping the demand structure within various categories and knowing customer preferences is essential for tailoring your offering to meet market needs. Analysing and comparing different categories helps identify thriving areas and reveal potential opportunities for growth.

Category demand forecast for complete offering-min

Case example: UK Clothing Market demand structure

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