Maire for retail
Forecast retail category demand with real-time online search data
Discover brand demand within your offering
Find out which brands are being sought after and which are on the decline.
Understand the demand of your relevant categories
What is the real-time demand for your categories and how your sales correlate
Plan for more sustainable inventory 18m in advance
Optimise resources and reduce your environmental impact by basing inventory on real demand
Understand retail category demand
Understand consumer demand by harnessing the power of online search data. By analysing search, you gain insights into consumer interest and behavior within your relevant categories.
This granular data reveals which categories are experiencing growth, which are declining, and where there are gaps in the market. The depth of understanding allows you to tailor your product offerings more precisely, stay ahead of emerging trends, and make strategic decisions that align closely with actual consumer demand.
Precise market insight
Targeted product line development
Strategic decision-making
Clients creating an unfair competitive edge with Maire
Identify category demand structure
Understanding the category demand structure involves analysing how demand is distributed across different product or service categories within a market. This analysis helps you tailor your offerings to better meet market needs by using data to understand preferences, purchasing patterns, and market trends.
By comparing different categories, you can identify which areas are thriving and which are underperforming. This type of market analysis reveals strengths, weaknesses, and high-demand categories. Staying updated on market trends and emerging customer preferences helps you focus on categories with growth potential.
Case example: Women's Jeans subcategory demand structure
Detect fastest growing and declining categories
Uncovering the fastest-growing and declining categories through search data offers a powerful advantage for strategic decision-making. By tracking search trends, you can pinpoint which product categories are experiencing a surge in consumer interest, allowing you to capitalise on emerging opportunities.
Conversely, identifying categories with declining search interest provides valuable foresight into waning consumer preferences. This knowledge enables you to proactively adjust your product strategy, reduce inventory for less popular items, and redirect resources towards more promising categories.
Overall, leveraging search data to detect growth and decline in trends ensures you stay responsive to market dynamics and maximise your profitability.
Case example: Women's Jeans subcategory annual growth
Identify what's missing from your offering
Identifying what's missing from your offering by analysing search trends and query volumes, you can pinpoint gaps in your current product lineup. This data reveals what customers are actively searching for but not finding in your offering, allowing you to adjust your products to better align with market demand.
Understanding these gaps helps you refine your product assortment and make informed decisions about new products or services to introduce.
By addressing these missing elements, you can enhance customer satisfaction and capture new market segments, ensuring that your offerings remain relevant and competitive.
Overall, leveraging category data to identify missing elements in your offering allows for more strategic planning and targeted product development. This approach ensures that your inventory and services are closely aligned with consumer preferences, driving growth and improving your market position.
Case example: Women's Jeans subcategory demand structure
Identify product mix discrepancies within categories
How well does your current offerings align with consumer interest? You can pinpoint which products within a category are generating significant search activity and which are not. This data highlights where your product mix may be falling short or where there may be oversaturation.
Discrepancies become evident when you observe that some products are receiving high search volumes while others, which could potentially meet unmet needs,
are not being sought after. By examining these search patterns, you can adjust your product assortment to better reflect consumer demand and fill gaps where there is substantial interest but limited availability.
Addressing these discrepancies ensures that your product mix is continually optimised to match evolving market trends. This approach allows for more effective inventory management by aligning your offerings with what consumers are actively searching for and are interested in.
Case example: Women's Jeans category demand
Track the demand of your complete offering in real time
Tracking your entire product offering is essential for understanding the demand structure across various categories and aligning your products with customer preferences. By closely monitoring how each product category performs, you can identify trends and shifts in customer behaviour, allowing you to fine-tune your offerings to better meet market needs. This comprehensive approach ensures that your portfolio remains relevant and competitive, helping you to maximise customer satisfaction and loyalty.
Analysing and comparing the performance of different products within your lineup can reveal which categories are thriving and where there might be room for growth. By recognising these patterns, you can uncover potential opportunities to expand or refine your offerings, ensuring that you are investing in the most promising areas. This strategic oversight not only helps in optimising your current product mix but also paves the way for future innovation.
Case example: UK Clothing Market demand structure
Plan for smarter and more sustainable inventory
Planning smarter and more sustainable inventory using search data involves aligning your stock levels with real-time consumer demand insights. You can accurately forecast which products will be in high demand and which will lag, reducing the risk of overstocking and understocking. This data-driven approach helps optimise inventory management, minimise waste, and ensure that resources are used efficiently, supporting both operational efficiency and sustainability goals.
Optimized inventory levels
Enhanced sustainability
Informed decision-making
Observe demand seasonality
See how consumer interest fluctuates throughout the months and years. By tracking search trends over different seasons, you can identify recurring patterns of peak and off-peak periods. This insight allows you to anticipate shifts in demand and adjust your inventory and marketing strategies accordingly.
Understanding these seasonal trends helps in optimising stock levels to meet anticipated spikes in demand, reducing the risk of stockouts or overstocking.
It also enables more effective promotional planning and resource allocation, ensuring that marketing efforts align with periods of heightened consumer interest.
Incorporating demand seasonality into your planning ensures that your business is well-prepared for changes in consumer behavior. This approach enhances operational efficiency and improves customer retention by ensuring the right products are available at the right times, leading to better sales performance and market responsiveness.
Case example: Capri Jeans category seasonality timeline
Predict future demand
Utilising four years of historic data for demand prediction enhances your ability to plan proactively and align your business strategies with expected market conditions. Ensure that you are well-positioned to meet future demand effectively, maintain operational efficiency, and capitalise on emerging opportunities.
Our forecasting models identify long-term patterns, seasonal fluctuations, and shifts in consumer behavior.
This historical perspective enables us to project future demand with greater accuracy, considering both consistent trends and occasional anomalies.
Leveraging this data helps to fine-tune inventory management and production planning. Understanding historical demand patterns allows you to anticipate future needs, reduce the risk of stockouts or overstocking, and optimise your supply chain operations. Additionally, it supports strategic decision-making by revealing potential market opportunities and areas for improvement
Case example: Capri Jeans category demand forecast (18m)
Plan more sustainably by preventing over and understocking
Reduce waste by optimising your inventory levels. By accurately forecasting demand and aligning your inventory with actual market needs, you minimise the risk of excess stock that can lead to increased disposal costs and environmental impact. This careful balance ensures that products are available when needed without contributing to unnecessary surplus.
By using data-driven insights to anticipate demand more accurately, you can maintain optimal stock levels,
ensuring that customer needs are met while avoiding the waste with excess inventory.
Overall, adopting a sustainable approach to inventory planning not only enhances operational efficiency but also supports environmental responsibility. By reducing both overstocking and understocking, you contribute to a more sustainable supply chain, reduce waste, and improve your overall business performance.
Case example: UK Coats & jackets demand timeline
Understand brand demand
Get insights into how consumer interest in your brand, and the brands you have in your offering, fluctuates over time and across different market segments. This understanding helps you understand where and what parts of your business are doing well, and where there's room for improvement. Tailor your product offerings, and align your business operations based on real demand data.
Targeted marketing
Optimized product offerings
Informed business strategy
Discover brand demand per category
Understand how different brands are perceived and sought after within various product segments. The data tells you which brands are leading and which are underrepresented.
Aligning your offering based on these insights helps tailor your product assortment to include brands that are in demand and to lighten stock on the ones that are in decline.
If certain brands are dominating a category and showing strong demand, you can adjust your inventory to include more of those popular brands or similar high-demand products. Conversely, if a brand is underrepresented in a growing category, this data can guide strategic decisions to enhance its presence and capture a larger market share.
Overall, leveraging brand demand insights per category enables more informed and strategic decision-making.
Case example: Women's Jeans brand demand analysis
Identify product mix discrepancies within brands
Discovering brand demand per category and identifying product mix discrepancies within brands offer complementary insights that significantly enhance your inventory strategy. By analyzing how different brands perform across various categories, you gain a clear view of market dynamics and consumer preferences. This allows you to pinpoint which brands are popular and where there might be gaps in your current offerings.
By identifying these imbalances, you can adjust your inventory to better match the demand patterns observed in different categories.
Aligning your product mix with both brand demand and identified discrepancies ensures that your offerings are not only comprehensive but also strategically positioned to meet market needs. This approach allows you to optimize your product assortment by focusing on high-demand items and addressing any gaps, ultimately improving customer satisfaction and enhancing your market competitiveness.
Case example: Women's Jeans brand demand
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