Shopnosis

Cover Block

PUBLIC

Name	Shopnosis
Tagline	AI platform for predictive shopper insights and virtual store testing for retail.
Headquarters	Vienna, Austria
Founded	2020
Stage	Seed
Business Model	SaaS
Industry	E-commerce / Retail
Technology	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding Label	Seed

Links

PUBLIC

• Website: https://www.shopnosis.io
• LinkedIn: https://be.linkedin.com/company/shopnosis

Executive Summary

PUBLIC

Shopnosis is a seed-stage startup building a software platform that applies AI to a persistent and expensive problem for consumer goods brands: measuring the return on in-store marketing and package design before committing to a physical rollout [CB Insights]. The company's wedge into the retail analytics market is a combination of automated in-store observation data and a 3D virtual store simulation environment, which together aim to give shopper marketers predictive insights into fixture placement, creative performance, and assortment [Tracxn]. This approach, if validated, could address a significant gap between digital marketing's precise measurement and the relative opacity of the physical retail shelf.

Founded in Vienna in 2020, the company appears to be led by Vedran Jelaca, with Uros Berisavljevic also listed as a founder and partner according to directory profiles [LinkedIn] [RocketReach]. The team's specific operational backgrounds in retail or CPG are not detailed in public sources, a data point that merits direct inquiry. Shopnosis operates on a SaaS business model and has secured seed funding from TS Ventures Fund, though the round size is not disclosed [CB Insights].

Current traction is modest, with revenue estimated between $500,000 and $1 million and a team size reported in the 20-49 employee range [ZoomInfo]. The next 12-18 months will be critical for demonstrating whether the platform's predictive claims translate into named enterprise customer logos and repeatable, high-value contracts that can scale beyond early pilot engagements.

Data Accuracy: YELLOW -- Core company facts are corroborated across multiple directories, but key operational details (revenue, team size) are sourced from a single provider.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	SaaS
Industry / Vertical	E-commerce / Retail
Technology Type	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding	Seed

Company Overview

PUBLIC

Shopnosis was founded in 2020 in Vienna, Austria, by Vedran Jelaca [Tracxn]. The company operates as a private limited company, with a UK entity, Shopnosis Limited, registered as active in February 2024 [Companies House, February 2024]. This legal registration suggests an expansion of corporate structure, likely to support business operations in the UK market.

The company's early development focused on building its core AI platform for predictive shopper insights. By 2024, it had secured seed funding from TS Ventures Fund, marking a key milestone in its capital formation [CB Insights]. Public traction indicators point to a small but established operation, with estimated revenue between $500,000 and $1 million and a team size reported in the 20-49 employee range [ZoomInfo].

Data Accuracy: YELLOW -- Core founding and location facts are corroborated by directory sources; revenue and headcount figures are from a single commercial database.

Product and Technology

MIXED

Shopnosis positions its platform as a tool for measuring the return on in-store marketing investments, a historically opaque area for consumer goods brands and retailers. The core offering, according to company descriptions, is a predictive shopper insights and analytics platform that serves the fast-moving consumer goods (FMCG) industry [CB Insights]. It combines several distinct product surfaces aimed at optimizing the in-store experience before and after physical deployment.

The platform's most defined application is a virtual store environment. This tool allows shopper marketers and category managers to test fixtures, package designs, product assortment, and point-of-sale creative materials in a simulated 3D setting before committing to a costly physical rollout [Crunchbase, Perplexity]. This is paired with a predictive A/B testing solution designed to measure the effectiveness of different in-store execution strategies, suggesting the platform can also analyze live store data [Tracxn]. The overarching claim is that Shopnosis optimizes creative and marketing mix "across every location," positioning it as a tool for precision measurement at scale [Perplexity].

Product differentiation appears to hinge on integrating virtual simulation with post-deployment analytics, though the technical stack powering these features is not publicly detailed. The company's website references being "loved by industry leaders" and "powering decisions for top global" brands, but no specific customer deployments or technical partnerships are cited in available sources [Perplexity]. The platform is offered as a SaaS solution, consistent with its business model.

Data Accuracy: YELLOW -- Product claims are sourced from company directories and its own marketing; no third-party technical reviews or customer case studies confirm capabilities.

Market Research and Opportunity

PUBLIC

The market for in-store analytics is being reshaped by a fundamental tension: while e-commerce provides granular, real-time data on shopper behavior, the physical retail environment remains a significant data blind spot, especially for brands that rely on third-party retailers for shelf placement and point-of-sale marketing. Shopnosis positions itself to address this gap by applying predictive AI to in-store execution, a niche that has historically been measured through manual audits and lagging sales data.

Direct, third-party market sizing for predictive in-store shopper analytics is not available in the cited sources. The broader retail analytics market, however, provides a useful analog. According to Grand View Research, the global retail analytics market size was valued at $8.4 billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 19.8% from 2024 to 2030 [Grand View Research, 2024]. The specific segment for in-store analytics and optimization is a subset of this larger category, driven by the ongoing pressure on consumer packaged goods (CPG) and fast-moving consumer goods (FMCG) brands to prove marketing return on investment (ROI) across all channels.

Demand for Shopnosis's proposed solution is driven by several converging trends. First, the persistent cost of product launches and in-store marketing campaigns, where a failed package design or poorly executed shelf planogram can result in millions in lost sales and sunk costs, creates a clear incentive for virtual pre-testing. Second, the fragmentation of retail media networks and the rise of first-party data strategies are pushing brands to seek more unified measurement across digital and physical touchpoints. Finally, macroeconomic pressures on marketing budgets are forcing a sharper focus on efficiency and measurable outcomes, favoring tools that promise to reduce waste in physical marketing spend.

Key adjacent markets include digital shelf analytics, which monitors online product content and pricing, and traditional market research services that conduct in-store intercept surveys. Shopnosis's differentiation, as framed by its product claims, is its predictive and virtual testing layer, which aims to move the measurement point upstream in the campaign planning process rather than simply reporting on post-launch performance. A significant macro force is the evolving regulatory landscape around consumer privacy, which may limit the use of certain in-store tracking technologies like facial recognition, potentially increasing the appeal of simulation-based, predictive approaches that do not rely on capturing individual shopper biometrics.

Market Segment	Size Estimate (2023)	Projected CAGR	Source
Global Retail Analytics (Analogous Market)	$8.4 billion	19.8% (2024-2030)	[Grand View Research, 2024]

This sizing context underscores the scale of the broader category Shopnosis operates within, though the company's immediate serviceable market is the subset of FMCG brands and retailers investing in advanced, pre-emptive in-store optimization. The high growth rate of the analog market suggests investor appetite for data-driven retail solutions, but also implies a competitive and rapidly evolving landscape.

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, broader sector report. Specific TAM for predictive in-store testing is not confirmed by primary sources on Shopnosis.

Competitive Landscape

MIXED Shopnosis enters a crowded field of retail analytics, but its specific wedge,virtual store testing for in-store marketing ROI,positions it as a specialist rather than a general-purpose data provider.

No named competitors were identified in the structured sources, which limits a direct head-to-head comparison. The competitive map must therefore be drawn from the broader category. The landscape can be segmented into three tiers. First, incumbent market research giants like NielsenIQ and Kantar offer comprehensive shopper panels and point-of-sale analytics, but their legacy methodologies are often slower and less predictive than virtual simulations [Tracxn]. Second, a wave of digital-native analytics platforms, such as those focused on e-commerce (e.g., Contentsquare, Quantum Metric), have deep expertise in online user behavior but lack the physical retail context that Shopnosis targets. Third, adjacent substitutes include in-store execution audit services and traditional design agencies that conduct physical store tests, which are costly and lack scalability.

Shopnosis's current defensible edge appears to be its focus on the pre-deployment testing of physical retail elements. The platform's validated virtual store application for testing fixtures and package design before live rollout is a specific capability not broadly offered by the large-scale data aggregators [Crunchbase]. This edge is perishable, however, as it relies on continued technological lead in 3D simulation and AI-driven predictive analytics. Without a proprietary dataset or patented methodology cited in public sources, the differentiation is primarily functional and could be replicated by well-capitalized incumbents or new entrants.

The company is most exposed on two fronts. It lacks the extensive, multi-year retailer relationships and syndicated data assets that fortify the incumbents' moats. Furthermore, its focus on the FMCG and brand manufacturer side of the equation [CB Insights] may leave it vulnerable to competitors that integrate directly with major retail chains' data systems, capturing the full transaction loop. A competitor that combines real-time shelf monitoring with predictive analytics could offer a more closed-loop solution.

The most plausible 18-month scenario hinges on adoption velocity. If Shopnosis can secure and publicly reference flagship deployments with global FMCG brands, it could establish itself as the specialist of choice for in-store marketing optimization, forcing generalists to partner or acquire. The loser in this scenario would be the traditional market research firms that fail to modernize their in-store testing offerings, ceding this high-value niche to agile software providers. Conversely, if product development stalls or a key competitor launches a similar virtual testing module, Shopnosis's early-mover advantage could erode quickly.

Data Accuracy: YELLOW -- Competitive analysis is inferred from product description and general market structure; no direct competitor names are confirmed in sources.

Opportunity

PUBLIC

If Shopnosis can establish its virtual store as the standard testing environment for in-store marketing, it could capture a significant portion of the billions spent annually on retail execution and shopper insights.

The headline opportunity for Shopnosis is to become the category-defining platform for predictive in-store marketing optimization, a role analogous to what Optimizely or VWO became for web A/B testing. The company's core proposition, automating in-store observations and enabling virtual testing of fixtures and packaging before physical deployment, addresses a persistent and expensive pain point in the fast-moving consumer goods (FMCG) sector [CB Insights]. The evidence that makes this outcome reachable, rather than purely aspirational, lies in the specific product focus. By combining 3D virtual shopping environments with predictive analytics, Shopnosis is targeting a workflow,creative testing and mix optimization,that is currently manual, slow, and geographically constrained [Crunchbase]. A platform that can reliably predict shopper behavior and marketing ROI at scale would command premium pricing from global brands desperate to reduce waste in their massive trade marketing budgets.

Growth would likely follow one of several concrete paths, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Land-and-expand with a global CPG anchor	Shopnosis secures a paid pilot with a top-20 global CPG brand (e.g., Unilever, Nestlé). Success in one region or category leads to an enterprise-wide license.	A direct sales effort targeting shopper marketing VPs at a major brand, supported by a case study from an existing (though unnamed) industry leader [Perplexity Sonar Pro Brief].	The platform's stated wedge is measuring in-store marketing ROI at scale, a universal board-level KPI. Directory profiles indicate the company already serves the FMCG industry [CB Insights].
Become the embedded testing suite for retail media networks	Major retailers (Walmart, Tesco) integrate Shopnosis's virtual testing tools into their retail media platforms for brands planning in-store campaigns.	A partnership announcement with a European grocery retailer's media arm, leveraging Shopnosis's Vienna headquarters for regional access.	The product's function,testing package design and point-of-sale creatives,aligns directly with the offerings of retail media networks, which are a high-growth channel seeking differentiation [Tracxn].

What compounding looks like is a classic data network effect. Each new brand or retailer using the platform contributes more shopper behavior data across different categories, store formats, and geographies. This expanding dataset would improve the accuracy of the AI's predictive models for A/B testing [Tracxn]. In turn, more accurate predictions increase the value of the platform for all users, creating a reinforcing cycle where the product becomes more indispensable as it scales. Early signs of this flywheel are not publicly visible in the form of published model performance metrics, but the product architecture itself is designed to enable it.

The size of the win, should the land-and-expand scenario play out, can be framed by looking at comparable public companies in adjacent analytics and testing software. For instance, Amplitude (NASDAQ: AMPL), a product analytics platform, traded at a market cap of approximately $1.3 billion in early 2025. While not a direct competitor, it demonstrates the valuation potential for a SaaS company that becomes essential for optimizing customer interactions. If Shopnosis captured a material segment of the global retail execution software market, achieving a similar scale is conceivable. This outcome represents a scenario, not a forecast, contingent on executing the growth paths above and transitioning from early revenue to proven enterprise traction.

Data Accuracy: YELLOW -- Product claims and market focus are corroborated by multiple directories, but growth scenario catalysts and compounding evidence rely on inference from the product description rather than public announcements.

Sources

PUBLIC

1. [CB Insights] Shopnosis - Products, Competitors, Financials, Employees, Headquarters Locations | https://www.cbinsights.com/company/shopnosis

2. [Tracxn] Shopnosis - 2026 Company Profile, Team, Funding & Competitors | https://tracxn.com/d/companies/shopnosis/__7qjlln3SHiDcazXfMh3qFkG0FjCBgUIkDtE5cGK11-s

3. [LinkedIn] Shopnosis | LinkedIn | https://be.linkedin.com/company/shopnosis

4. [RocketReach] Uros Berisavljevic Email & Phone Number | Shopnosis Partner and Founder Contact Information | https://rocketreach.co/uros-berisavljevic-email_12195884

5. [ZoomInfo] Shopnosis.io Site - Overview, News & Similar companies | https://www.zoominfo.com/c/shopnosisio-site/557283557

6. [Crunchbase] Shopnosis - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/shopnosis

7. [Companies House, February 2024] Shopnosis Limited registration | https://find-and-update.company-information.service.gov.uk/company/15470005

8. [Grand View Research, 2024] Global Retail Analytics Market Size Report | https://www.grandviewresearch.com/industry-analysis/retail-analytics-market

9. [Perplexity Sonar Pro Brief] Shopnosis Research Brief | https://www.perplexity.ai/