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The
Signal-To-Shelf
Intelligence Platform

Describe any consumer goods industry. OptinaLabs scans live retail, social and scientific signals, then generates six validated product concepts — risk-assessed, scored and ready to act on.

One prompt. Six market ready product concepts.

From a single line of text to a full portfolio of evidence-backed product concepts, in minutes.

  1. Describe your sector

    Type a single prompt — an industry, a consumer segment, or a market opportunity. Optionally refine with nuance. That's all the input you need.

  2. Signals are collected

    Our pipeline scrapes a plethora of social, retail and scientific sources in parallel — extracting pricing, sentiment, review patterns, and trend velocity in real time.

  3. Six concepts delivered

    Six ranked product concepts emerge — each with a risk class, GO/NO-GO recommendation, confidence score, pricing strategy, and target demographic profile.

Live product concept demo

ColdBrew Pro Concentrate

8.4/10

Premium cold brew concentrate in reusable glass carafe. Targets urban professionals aged 25–40 seeking a premium at-home cafe experience.

  • Core
  • GO

Adaptogen Blend Pods

7.1/10

Functional mushroom coffee pods with lion's mane and ashwagandha. Appeals to wellness-conscious millennials tracking TikTok biohacking trends.

  • Expansion
  • GO

Sparkling Matcha RTD

6.8/10

Canned sparkling matcha with ceremonial-grade green tea. Positioned as a sophisticated alternative to energy drinks for Gen Z consumers.

  • Expansion
  • Modify

Zero-Waste Tea Refills

7.6/10

Subscription-based loose-leaf tea refill system in compostable packaging. Targets eco-conscious households with existing subscription intent.

  • Core
  • GO

Sleep Herbal Night Blend

5.9/10

Valerian and chamomile sleep tea with magnesium glycinate. High Amazon competition detected — price differentiation strategy required.

  • Speculative
  • Modify

Rare Single-Origin Espresso

4.2/10

Ultra-premium micro-lot espresso at £85/250g. Market ceiling analysis indicates low volume potential and high logistical complexity.

  • Speculative
  • KILL
Sample output from OptinaLabs for the "coffee and hot drinks" industry prompt, showing six product concepts with confidence scores, risk classifications, and GO/NO-GO recommendations.

Intelligence flows through the pipeline graph

From prompt parsing to six scored product concepts — now visualized directly in this top section.

Platform statistics

Live data platforms scraped per analysis run
20+
Cross-platform data points collected per run
1000+
Signal dimensions scored before ranking concepts
12+
Market-ready product concepts delivered per prompt
6×

How the pipeline graph works

A fully orchestrated intelligence pipeline — from raw prompt to scored product brief.

  1. Industry prompt parsing

    The LLM interprets your prompt and generates a validated set of social media hashtags, retail and scientific keywords — all schema-enforced before execution.

  2. Parallel data collection

    Several platforms are scraped concurrently to gather real-time consumer insights, sentiment and market data.

  3. Signal scoring & normalisation

    Raw platform data is normalised, deduplicated, and weighted across 12+ signal dimensions to produce a ranked opportunity score per concept cluster.

  4. Concept generation & classification

    The intelligence layer generates six product concepts, assigns risk classes, produces a demographic profile, and outputs a final GO/NO-GO recommendation.

Built for FMCG decision makers

Every concept is backed by real consumer signals, not guesswork. Here's what powers each analysis.

Social Media Trend Detection

Monitors social media hashtag velocity, content virality, and creator sentiment to surface emerging consumer desire before it reaches mainstream retail shelves.

Retail & News Sentiment Analysis

Scrapes live product listings, review sentiment, pricing bands, and news coverage to map competitive white space and market sentiment in your target category.

Confidence Scoring

Each concept is assigned a 1–10 confidence score, weighted by signal strength, market size indicators, and trend momentum across both platforms.

Risk Classification

Products are categorised as Core, Expansion, or Speculative — giving teams an instant read on capital exposure and time-to-market risk before committing.

Economic Analysis

Comprehensive cost modeling, margin analysis, and ROI projections to evaluate financial viability and market opportunity size for each product concept.

Demographic Profiling

Each concept arrives with a mapped consumer demographic — age ranges, psychographic signals, and consumption contexts derived from real platform data.

Your next product idea
starts with one sentence.

Stop guessing what the market wants.
Let platform signals from all over the world, do the work for you.