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Assortment Optimisation

Increase confidence in assortment decisions through rapid testing with real shopper

Compare
Product
Ranges

Test
More
Options

Avoid
Missed
Opportunities

The Problem

Every assortment decision carries risk. Launch the wrong product mix and retailers can miss sales opportunities, reduce category performance, weaken shopper engagement, and waste valuable shelf space on underperforming SKUs.

At the same time, bloated assortments create operational complexity and overwhelm shoppers with too much choice, slowing decisions and reducing confidence at shelf.

But reducing ranges without clear behavioural evidence is equally risky. Removing the wrong products can alienate loyal customers, damage brand equity, and prevent stronger-performing assortments from ever reaching the shop floor.

Assortment teams need the freedom to explore more options, test product mixes rapidly, and build stronger ranges around real shopper behaviour before rollout.

The Solution

Buzz 3D lets you optimise product assortments by rapidly deploying multiple product ranges as interactive shelves within online surveys before committing to rollout. Shoppers can browse shelves, pick up products, and build baskets just as they would in-store, with every interaction captured for behavioural analysis.

Generate authentic shopper insight quickly and easily without the need for costly physical shopper lab mock-ups, static shelf images, or the lingering doubt that a stronger-performing assortment opportunity was never explored before reaching physical retail.

Core Benefits

  • Test more Product ranges

  • Test multiple Assortments in parallel

  • See the impact of adding or removing SKUs

  • Measure attention, dwell-time, and basket activity

  • Understand the optimal range size

  • Support SKU rationalisation with confidence

  • Compare assortments by product, segment, or strategy

  • Predict real-world performance (92% aligned to in-store behaviour)

  • Integrate with existing survey platforms

Use Cases

  • Reducing product ranges without hurting revenue

  • Testing new category structures and product mixes

  • Simplifying assortments for smaller formats and retail partners

  • Evaluating shopper preferences at SKU and pack-size level

  • Launching or retiring SKUs with greater confidence

Conclusion

Buzz 3D allows retailers, manufacturers, and shopper research teams to reduce the time-pressure around assortment decisions by rapidly testing multiple product ranges with real shoppers online — quickly, cost-effectively, and without the risk of committing sub-optimal solutions to the final rollout. Every SKU decision is supported by behavioural evidence, helping teams rationalise ranges, refine category strategies, and launch stronger-performing assortments with greater confidence.

No guesswork. No wasted shelf space. Just shopper-validated assortments grounded in real behavioural insight.

Try our free demo below - just mousewheel / pinch to zoom, drag to pan your view, tap a product to select, or the cart button to view what you’ve added, then go through checkout to see your metrics. Much better than a static image!

Ready to Optimise Your Assortments?

Explore how behavioural evidence and rapid experimentation can help your teams build stronger-performing assortments with greater confidence before rollout.

Get in touch

FAQs

  • Assortment optimisation is the process of deciding which products, pack sizes, flavours, and SKU combinations should appear on the shelf to maximise shopper engagement, category performance, and retail efficiency.

    Even small assortment changes can significantly influence shopper behaviour, product visibility, and sales performance. Remove the wrong SKU and retailers risk frustrating loyal customers or missing valuable sales opportunities. Keep too many products, and shelves can become cluttered, inefficient, and harder for shoppers to navigate.

    Buzz 3D helps retailers, manufacturers, and shopper research teams optimise assortments by rapidly testing multiple product ranges with real shoppers online before rollout.

    Interactive shelves allow survey-respondents to act as shoppers, and browse, compare, and select products naturally, generating behavioural insight that supports more confident assortment decisions.

  • Assortment decisions directly influence shopper engagement, category performance, shelf efficiency, and retail profitability. Keep too many products and shoppers can become overwhelmed by choice. Remove the wrong SKU and retailers risk losing loyal customers, reducing sales, and missing valuable assortment opportunities.

    Buzz 3D helps retailers, manufacturers and shopper research teams improve assortment performance by rapidly testing multiple product ranges with real shoppers online before rollout. Teams can compare shopper responses, evaluate product mixes, and identify stronger-performing assortments using behavioural evidence rather than guesswork.

    This allows you to rationalise ranges more confidently, optimise shelf space, reduce operational complexity, and launch assortments that more closely reflect real shopper behaviour.

  • Assortment studies with Buzz 3D can be launched quickly - in many cases, interactive assortment tests can be built and deployed within minutes once product data and shelf information are ready.

    Multiple product ranges can then be tested with real shoppers online through interactive surveys, allowing teams to compare assortments, evaluate shopper behaviour, and explore more options before rollout.

    As soon as the study closes, behavioural interaction data and shopper responses are immediately available for analysis, delivering actionable assortment insight in days rather than weeks.

  • Assortment testing with Buzz 3D captures a detailed range of shopper behaviour metrics and product interaction data, including:

    Session details: User ID, study name, shelf type, scenario number, date, and time.

    Product interactions: Add-to-cart behaviour, product pick-up order, dwell time, product descriptions, EAN data, respondent ID, and interaction patterns across different assortment configurations.

    All results are available in real time through API integrations and compiled into structured summary outputs for fast analysis and comparison.

    This allows retailers, manufacturers, and shopper research teams to understand not just what shoppers choose, but how different product ranges influence attention, engagement, basket behaviour, and assortment performance.

    The result is meaningful behavioural evidence that supports more confident SKU rationalisation, assortment optimisation, and category strategy decisions before rollout.

  • Buzz 3D supports interactive shelves up to 12 metres (around 39 feet) in length - enough to simulate anything from a single bay to a full aisle-scale assortment study.

    This flexibility allows retailers, manufacturers, and shopper research teams to compare multiple product ranges, evaluate category composition, and test assortment strategies across realistic shelf environments.

    For unique projects requiring extended aisle layouts, promotional displays, or larger retail environments, please get in touch to explore custom configurations and broader merchandising scenarios.

  • Yes. Buzz 3D assortment studies can be deployed across multiple languages and currencies, making it easy to test product ranges with different shopper groups, retail regions, and international markets. Currently supported languages include Chinese, Dutch, English, French, German, Italian, Japanese, Portuguese, and Spanish.

    Supported pricing formats include major international currencies including GBP, USD, EUR, and CNY/JPY.

    Product information including pack descriptions, shelf labels, pricing, and merchandising details is displayed exactly as provided, helping retailers and manufacturers maintain authentic retail experiences across each market.

    This flexibility allows teams to compare shopper behaviour internationally, evaluate region-specific assortment strategies, and test localised product ranges without costly shopper labs or the risk of rolling out sub-optimal assortments into live retail environments.

  • Yes. Buzz 3D assortment studies can include product findability testing by asking survey respondents to locate specific products within interactive shelf environments.

    This allows retailers, manufacturers, and shopper research teams to measure how easily shoppers discover products across different assortment configurations, packaging designs, product mixes, and shelf compositions.

    Findability studies help reveal which products attract attention quickly, which items are overlooked, and how assortment changes influence shopper navigation and decision-making behaviour.

    The result is stronger behavioural evidence to support assortment optimisation, SKU rationalisation, product visibility, and category strategy decisions before rollout.

  • Yes. Buzz 3D assortment studies include fully interactive shelf environments where survey respondents can:

    • Zoom in and out

    • Pan naturally across the shelf

    • View realistic pricing and shelf labels

    • Select and inspect products

    • Add or remove items from their basket

    Every interaction is captured throughout the study, including navigation behaviour, dwell time, basket activity, product comparisons, and assortment engagement patterns.

    This creates a more natural and realistic shopping experience that allows retailers, manufacturers and shopper research teams to evaluate how different product ranges influence shopper attention, product visibility, and assortment performance in realistic retail conditions.

  • Yes. Buzz 3D assortment studies support realistic shelf labels and price tags that can display list price, promotional pricing, multi-buy offers, and detailed product descriptions.

    This allows survey respondents to experience the same pricing and merchandising cues they would encounter in-store while comparing different product ranges and assortment configurations.

    Retailers, manufacturers, and shopper research teams can then evaluate how pricing, promotions, pack sizes, and product information influence shopper attention, product comparisons, basket behaviour, and assortment performance.

    The result is more realistic behavioural evidence to support assortment optimisation, SKU rationalisation, and category strategy decisions before rollout.

  • Absolutely. Realistic shopper interaction is central to Buzz 3D assortment studies. Survey respondents can pick up products, compare items, add products to their basket, and remove them at any stage during the session - just as they would in-store.

    These natural interactions help retailers, manufacturers, and shopper research teams understand how different product ranges influence shopper attention, product comparisons, basket composition, and assortment performance.

    By observing how shoppers browse, evaluate, select, and reconsider products within interactive shelf environments, teams gain behavioural evidence that more closely reflects real retail decision-making before rollout.

  • Because Buzz 3D assortment studies are delivered through a fast, device-friendly web platform, hundreds of respondents can comfortably take part in a single study while maintaining a smooth interactive experience.

    For many assortment optimisation projects, a sample size of around 100-150 respondents per assortment provides a strong foundation for identifying meaningful behavioural patterns and reducing the influence of outliers.

    Larger respondent groups are also fully supported when additional statistical confidence, market segmentation, or international comparison studies are required.

    This flexibility allows retailers, manufacturers, and shopper research teams to scale assortment experimentation around their commercial and behavioural research objectives.

  • Yes. Buzz 3D assortment studies fully support respondent revisits, allowing shoppers to return to the same interactive shelf multiple times during a session.

    Every interaction and revisit is timestamped and recorded automatically, making it possible to analyse how shopper behaviour changes over time, how product comparisons evolve, and how different assortment configurations influence decision-making during repeated exposure.

    This helps retailers, manufacturers, and shopper research teams understand not just immediate shopper reactions, but how assortments perform throughout the broader decision process.

    All behavioural interaction data is available in real time through our API, and compiled into structured outputs for streamlined analysis and comparison once the study is complete.

  • Buzz 3D assortment studies are designed to closely reflect natural shopper behaviour through realistic interaction, product comparison, and basket-based decision-making.

    Independent academic studies for virtual shelf research platforms in general demonstrate a 92% alignment between interactive online shelf testing and real-world shopper behaviour.

    Buzz 3D builds on these earlier approaches using fast, device-friendly interactive shelf environments with natural shopper interactions including zooming, panning, product comparison, basket interaction, and real-time behavioural capture.

    Buzz technology has been used for several years in shelf testing studies across a wide range of global brands, helping retailers and manufacturers make more confident assortment, merchandising, and category strategy decisions.

    Because shoppers actively interact with assortments rather than viewing static shelf images, retailers, manufacturers, and shopper research teams gain behavioural evidence that more closely reflects genuine retail decision-making before rollout.

  • Yes. Buzz 3D assortment studies are designed to integrate flexibly into existing shopper research, survey, and category management workflows.

    Interactive shelf experiences can be deployed through browser-based links, embedded directly into survey platforms, or connected to existing research systems through API integrations and automated data workflows.

    Behavioural interaction data including navigation behaviour, dwell time, product comparisons, basket activity, and assortment engagement can be captured in real time alongside traditional survey responses.

    This allows retailers, manufacturers, and shopper research teams to combine behavioural evidence with survey feedback, support dynamic respondent journeys, and scale assortment experimentation without the operational complexity traditionally associated with physical shopper testing environments.