Sold by: MAD Services
RepliQ is an innovative market research solution that uses AI-powered digital twin simulations of retail environments to observe real shopper behavior. It enables brands to test scenarios such as packaging, pricing, and shelf layouts in a realistic context, capturing actions instead of declared intentions. By combining behavioral data with scenario testing, RepliQ delivers predictive insights on sales, penetration, and consumer choices. This allows companies to make faster, more confident decisions, reduce risk, and optimize strategies before committing to costly market launches.
Overview
RepliQ is an AI-powered market research solution that combines digital twin technology, behavioral science, and predictive analytics to simulate real-world shopping environments and observe authentic consumer decision-making. Rather than relying on what consumers say they might do, RepliQ measures what shoppers actually do within a realistic virtual store, providing brands with a more accurate understanding of purchase behavior and business impact. Using realistic 3D retail simulations, RepliQ enables companies to evaluate products, packaging, pricing, promotions, shelf layouts, and category strategies before investing in costly market implementation. Respondents complete realistic shopping missions, allowing researchers to analyze how consumers navigate stores, compare alternatives, and make purchase decisions.
How It Works
RepliQ leverages AI-driven digital twin simulations to recreate authentic retail environments and shopper behavior: Digital twin retail environments: Realistic 3D store simulations recreate category structures, merchandising, product placement, and competitive context. Behavioral observation: Captures navigation patterns, product interactions, attention, selection behavior, and purchase decisions. Scenario testing: Compare packaging, pricing, promotional concepts, assortment changes, and shelf optimization initiatives. AI-powered analytics: Behavioral data is transformed into actionable business insights. Predictive business outcomes: Quantifies projected sales impact, penetration, loyalty, switching behavior, and basket dynamics.
What Can Be Tested
RepliQ supports a broad range of commercial and innovation challenges: New product launches and innovation concepts Packaging design and renovation projects Pricing and price elasticity scenarios Promotional mechanics and activation strategies Shelf layouts and planogram optimization Category management initiatives Assortment and portfolio changes Brand positioning and competitive performance Engagement Process Every RepliQ project follows a structured delivery process: Scoping and consultation: Define business objectives, research questions, success metrics, and scenarios. Simulation design: Build the virtual retail environment, including products, competitors, and test conditions. Behavioral fieldwork: Consumers complete shopping missions while interactions are recorded. Analysis and modeling: AI-powered analytics identify behavioral drivers and projected business outcomes. Insight reporting: Delivery of recommendations, scenario comparisons, and strategic implications.
What You Receive
Research design and methodology consulting Custom digital twin retail simulations Baseline and test scenario evaluations Behavioral shopper journey analysis Predictive business impact modeling Category and competitor performance insights Sales, penetration, and basket impact projections Executive-ready reporting and recommendations
Why RepliQ Is Different
Traditional market research often relies on surveys and stated intentions. RepliQ focuses on actual consumer behavior within a realistic shopping context. Behavior over declarations: Measures what consumers do, not only what they say. Realistic retail context: Evaluates products alongside competitors where genuine trade-offs occur. Predictive business focus: Connects shopper behavior directly to commercial outcomes. Faster decision-making: Tests multiple scenarios simultaneously. Risk reduction: Identifies winning strategies before implementation. Scalable experimentation: Rapidly evaluates multiple business hypotheses.
REPLIQ is built with AWS infrastructure
The tool leverages key services such as Amazon EC2 and Amazon S3 for compute and data storage, AWS Lambda and AWS Amplify for serverless execution and rapid deployment, and Amazon SageMaker to support advanced analytics and AI/ML workloads. This cloud-native architecture enables large-scale simulations, rapid scenario testing, and efficient processing of complex behavioral datasets, while maintaining flexibility as research needs evolve.
Use Case Example
A consumer goods company planning a packaging redesign can use RepliQ to compare several concepts within a realistic category environment. Researchers can observe attention, comparison behavior, switching patterns, and purchase decisions while predictive modeling estimates potential impact on sales, penetration, loyalty, and category performance.
Getting Started
Contact the team at research@madresear.ch to schedule a scoping consultation. The team provides end-to-end support covering research design, simulation development, fieldwork execution, analytics, and reporting.
Highlights
- RepliQ is an AI-powered market research solution using digital twin store simulations to capture real shopper behavior. It enables brands to test packaging, pricing, and shelf strategies in a realistic environment, delivering predictive insights on sales, penetration, and consumer decisions—helping reduce risk and optimize outcomes before market launch.
- RepliQ transforms market research by simulating real shopping behavior in a digital twin store environment. It enables brands to test and optimize packaging, pricing, and shelf strategies in context, delivering predictive insights on consumer decisions and sales impact. By replacing assumptions with observed behavior, RepliQ helps companies reduce risk, accelerate innovation, and confidently launch high-performing solutions.
- RepliQ enables brands to simulate real in-store behavior using AI and digital twin environments, revealing how shoppers navigate, choose, and purchase products. By testing multiple scenarios in a realistic retail context, it provides clear, predictive insights on sales and consumer decisions, helping companies optimize strategies, reduce uncertainty, and confidently implement high-impact changes with proven results.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Resources
Vendor resources
Support
Vendor support
Every RepliQ engagement includes end-to-end support across the full project lifecycle.
1. Scoping and Research Design We work with clients to define business objectives, target audiences, key research questions, success metrics, and test scenarios.
2. Digital Twin Development Our team builds a realistic virtual retail environment, including store layout, product visualization, category structure, competitive context, and test conditions.
3. Behavioral Fieldwork Respondents complete shopping missions within the virtual store while RepliQ captures navigation behavior, product interactions, purchase decisions, switching patterns, and basket composition.
4. Analysis and Reporting We deliver behavioral insights, scenario comparisons, business impact forecasts, strategic recommendations, and executive-ready reports.
Buyer Responsibilities To initiate a project, buyers provide: - Business objectives and decision context - Product and brand information - Category and competitive considerations - Available visual assets - Scenarios requiring evaluation The RepliQ team manages simulation development, fieldwork, analytics, and reporting while maintaining close collaboration throughout the project.
Typical Applications - Packaging optimization - Innovation and concept validation - Pricing and promotion testing - Shelf and planogram evaluation - Portfolio and assortment decisions - Category management initiatives - Shopper behavior exploration
Getting Started Contact research@madresear.ch to schedule a consultation. Our team will discuss your objectives, recommend the appropriate methodology, and prepare a proposal outlining scope, deliverables, and timeline.