Consumer-Evidenced Range Intelligence

Assortment Optimization Services for Enterprise Category and Portfolio Teams

Trusted by Forward-Thinking Enterprises

MainBrain Research uses conjoint analysis, AI demand modeling, and consumer behavioral research to help enterprise teams identify the optimal product assortment that maximizes category performance, minimizes redundancy, and captures the full range of consumer need states across retail channels.
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MainBrain Research combines neuroscience technology, AI-powered analytics, and behavioral science to give enterprise and mid-market teams the consumer intelligence they need to make high-stakes decisions with confidence. Our six specialized divisions cover every dimension of research your business requires, from brand strategy to retail optimization to predictive modeling.

Our Assortment Optimization Capabilities

What Assortment Optimization Delivers

Implementation Ready Business Research
Category Need State Coverage
Our consumer need state mapping identifies the full range of purchase occasions and need states in your category, evaluating how effectively your current assortment covers them and where gaps represent unmet demand your range should address.
Fast Business Research Delivery
Demand-Based Range Rationalization
We model consumer demand across your current assortment and alternatives, identifying which SKUs are driving unique demand and which are redundant substitutes whose removal would not meaningfully reduce category sales.
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Retailer Range Recommendations
We produce consumer-evidenced retailer range recommendations that demonstrate the category impact of assortment decisions, strengthening your commercial case in range review conversations with fact-based demand modeling.

Trusted by Forward-Thinking Enterprises

The Research Partner Built for Decisions That Actually Matter

MainBrain Research combines neuroscience, AI-powered analytics, and behavioral science to give enterprise teams the consumer intelligence they need to move with confidence. From Fortune 500 brand strategies to mid-market innovation pipelines, our six specialized divisions, Rocket Labb, Bamboo Labb, Logitivo, Revelay, Daisho, and Zland, deliver research that connects directly to business outcomes, not just reports.

  • Customer Research: Consumer behavior analysis and segmentation studies
  • Market Analysis: Industry sizing, competitive landscape assessment
  • Product Validation: Concept testing and demand validation research
  • Brand Studies: Brand positioning and messaging optimization research
Learn more About us
Market Research Company for Small to Medium businesses in the USA

Why Enterprise Assortment Decisions Need Research

The Commercial Costs of Range Decisions Without Consumer Evidence

Too Many SKUs Competing for the Same Demand

Enterprise portfolios frequently contain SKUs that are substitutes rather than complements, creating internal cannibalization that fragments demand without adding incremental category sales. Identifying true redundancy requires demand modeling.

Range Reviews Based on Sales History Alone

Historical sales data tells you which SKUs are currently selling but cannot tell you which SKUs are driving unique incremental demand versus merely capturing demand that would shift to another SKU if removed. Consumer demand modeling provides this intelligence.

Assortment Gaps Missed by Internal Category Reviews

Internal range reviews assess the assortment against current portfolio performance data but cannot identify the consumer need states and purchase occasions that the range is failing to address because no product currently serves them.

Retailer Negotiations Without Consumer Demand Evidence

Assortment recommendations presented to retailers without consumer demand evidence rely on sales data and margin arguments alone, which are weaker commercial cases than demand-modeled evidence of category growth impact.

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How MainBrain Delivers Assortment Optimization

The AI-Powered Range Intelligence Platform Built for Enterprise Category Management

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Logitivo Assortment Demand Modeling

Our Logitivo division leads assortment optimization, combining choice-based conjoint analysis with AI demand simulation to model consumer demand across assortment configurations and identify the range that maximizes category performance.

boost your Innovation
Consumer Need State Mapping

We map the full landscape of consumer need states, purchase occasions, and usage contexts in your category, providing the consumer foundation for assortment design decisions that go beyond sales data to reflect the total demand opportunity.

Build Your Brand
SKU Redundancy Analysis

Our demand models identify SKUs that are true substitutes by quantifying demand transfer when individual products are removed from the range, separating genuine contributors to category performance from redundant volume that will shift to remaining SKUs.

Optimize Your Strategy
Assortment Gap Analysis

We identify the need states and consumer segments that your current assortment is failing to serve, quantifying the incremental demand opportunity available from range additions that address genuine gaps in category coverage.

Decode Behavior
Competitive Assortment Benchmarking

We benchmark your assortment against competitive ranges on need state coverage, consumer value delivery, and category performance contribution, identifying where competitor ranges are capturing demand your assortment should be winning.

Uncover Your Trends
Retailer Range Evidence Package

We develop consumer demand evidence packages for retailer range review presentations, translating assortment optimization findings into category growth narratives grounded in demand modeling rather than portfolio sales data alone.

Discover Depth

Choosing mainbrain research

Why Medium to Large Businesses Choose our Market Research Expertise

Decode Consumer Behavior
Deep Market Knowledge

Our research team understands consumer behavior, regional economic trends, and local competitive dynamics that national firms often miss or overlook.

Business Network Access

Established relationships with industry leaders, local focus group facilities, and regional survey panels ensure faster recruitment and higher response rates.

On-Ground Support

Local presence means face-to-face meetings, immediate support, and understanding of business culture and market nuances that drive successful research outcomes.

Step 1
Category Brief and Assortment Scope Definition
We align with your category and commercial teams on the product range under study, the retail channels and retailer contexts relevant to the optimization, the consumer segments to be analyzed, and the range review decisions this research must support.
Step 1
Consumer Need State Research and Demand Study Design

Our Logitivo team conducts consumer need state mapping and designs the conjoint demand study to evaluate assortment performance and optimization opportunities across the full relevant range of consumer purchase contexts.

Step 3
Consumer Fielding and Assortment Demand Modeling

We field the assortment research across your target consumer segments and build the AI demand model that quantifies SKU contribution, redundancy, and gap impact across your range configurations.

Step 4
Assortment Analysis and Range Optimization Modeling

Our analysis team runs assortment simulations across alternative range configurations, identifying the optimal assortment for category performance and producing SKU-level demand transfer analysis for rationalization decisions.

Step 5
Assortment Optimization Deliverables and Range Recommendations

We deliver consumer need state maps, SKU demand contribution analysis, redundancy modeling, gap opportunity sizing, competitive assortment benchmarks, and specific range optimization recommendations with consumer demand evidence for retailer presentations.

How Our Assortment Optimization Process Works

Structured for Enterprise Category Planning and Range Review Decision Requirements
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Global market research industry size
$ 0 B
Research revenue comes from mobile methods
0 %
U.S. businesses are small businesses
0 %

Our Methodology & output

Professional Research Methods & Quality Standards

Quantitative Research:
  • Online Surveys: Statistically valid sampling with confidence intervals
  • Market Sizing: Bottom-up and top-down market analysis methodologies
  • Pricing Studies: Conjoint analysis and price sensitivity research
Qualitative Research:
  • In-Depth Interviews: One-on-one interviews with target customers
  • Focus Groups: Moderated group discussions for concept testing
  • Observational Research: Ethnographic and behavioral observation studies
Quality Assurance:
  • Statistical validity and appropriate sample sizes
  • Unbiased questionnaire design and interviewing techniques
  • Professional analysis and interpretation of findings
  • Clear limitations and confidence interval reporting
MainBrain Business Impact:
  • Market Validation Accuracy: 89% of product concepts validated through our research successfully launch in markets
  • Customer Acquisition: clients report average 34% improvement in customer targeting effectiveness after implementing our research recommendations
  • ROI Performance: Small businesses in typically recover research investment within 6-8 months through improved decision-making and market positioning
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Category leaders use our assortment optimization research to build consumer demand evidence for range decisions and retailer negotiations, improving the commercial impact of range review conversations.

Portfolio Strategy and Brand Teams

Sales leaders use consumer demand evidence from assortment optimization research to strengthen retailer range review submissions and build the category growth case for their assortment recommendations.

Innovation and NPD Teams

Finance teams use our demand modeling to evaluate the net revenue and margin impact of assortment rationalization decisions before they are implemented, replacing assumptions about demand transfer with modeled consumer evidence.

Retail and Trade Marketing Leaders

Who We Serve

Enterprise Teams Managing Complex Assortment Decisions Across Channels and Retailers

Category Management and Shopper Teams
Learn about who do we serve

Portfolio strategy leaders use our demand modeling to rationalize complex ranges, manage cannibalization, and identify the assortment configurations that maximize both brand and category performance.

Sales and Customer Teams

Innovation leaders use our assortment gap analysis to identify the need states and consumer occasions that the current range is not serving, directing NPD investment toward genuinely incremental category opportunities.

Finance and Commercial Leaders

Trade marketing leaders use assortment optimization research to design promotional and activation programs that support the highest-demand SKUs in the range and build the commercial case for preferred shelf positioning.

What is assortment optimization and how does it differ from standard range management?

Frequently Asked Questions

Rocket Labb provides AI-driven solutions to help businesses innovate and optimize. From concept testing to pricing strategies, we deliver fast insights and real-world results to unlock your brand’s potential.

All our FAQs
Choice-based conjoint analysis presents consumers with realistic purchase choices from alternative assortments that vary in product composition, allowing demand modeling across the full range of potential assortment configurations. By observing which products consumers choose from different assortments, the model can estimate the incremental demand contribution of each SKU and simulate the demand distribution across remaining products when individual SKUs are added or removed. This behavioral modeling approach produces demand transfer estimates that are more reliable than sales-based redundancy analysis because it measures consumer substitution behavior directly rather than inferring it from sales correlations.

How does MainBrain identify genuine demand gaps versus category whitespace?

We identify demand gaps by mapping consumer need states across the category and measuring the proportion of shoppers whose primary purchase occasion or need state is not adequately served by any current SKU in the range. A genuine demand gap exists when a significant consumer segment has a need that current products are not addressing and would meaningfully change their purchase behavior if an appropriate product were available. This is different from category whitespace, which may exist in product attribute space without a corresponding consumer need. Our research distinguishes between these two types of opportunity to direct range investment toward genuine incremental demand.

Can assortment optimization research support retailer range review submissions?

Yes. Producing consumer demand evidence for retailer range review submissions is one of the most commercially valuable applications of our assortment optimization research. We develop retailer-ready evidence packages that present demand modeling findings in the category growth narrative format that category captaincy conversations require, translating SKU-level demand contribution analysis and gap opportunity sizing into evidence that demonstrates the commercial case for your assortment recommendations from a category perspective rather than a brand perspective alone.

How does assortment optimization differ across retail channels?

Consumer assortment preferences and need state expression vary significantly across retail channels. The optimal assortment for a discounter differs from the optimal assortment for a premium grocery retailer, and both differ from the optimal assortment for a convenience or online channel. We design assortment optimization programs that model consumer demand separately for each relevant retail channel, allowing enterprise teams to make channel-specific range recommendations that reflect the actual consumer and shopper behavior in each retail environment.

How long does an assortment optimization engagement take?

A focused assortment optimization program covering one category with demand modeling and gap analysis completes in seven to ten weeks from brief to deliverables. More comprehensive programs covering multiple categories, extensive channel comparison, or multi-market analysis run twelve to sixteen weeks. We align every project timeline with your range review calendar and commercial planning cycle.

What does assortment optimization cost for an enterprise team?

Investment varies by category complexity, range size, and methodological depth. Standard assortment optimization programs typically range from $50,000 to $90,000. Comprehensive multi-category or multi-channel programs with extensive demand modeling and retailer evidence package development range from $90,000 to $180,000. We provide a detailed investment estimate during the scoping conversation.

How do we get started with MainBrain's assortment optimization services?

Contact our team to arrange a briefing where we discuss your category, the range decisions under consideration, your target retail channels, and the commercial planning cycle driving the research need. We will design a tailored assortment optimization program and provide a proposal within one week.

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