Data is scattered; you only see surface trends
Research, social, retail, e-commerce, and enterprise data sit apart. Market change lacks a unified read.
DeepAgent 4.0 Pro · Product Innovation
Let AI turn market signals into new-product decisions
Product Innovation is DeepZero’s AI agent product. Multiple AI agents work together to identify real demand, narrow new-product opportunities, and validate commercial potential—so enterprises can find new-product opportunities they can trust.
The new-product innovation bind
From market insight to concept testing, every step needs a judgment call—but data, experience, and feedback sit in different teams and tools. Opportunities are hard to screen, demand is hard to identify, concepts are hard to validate, and test findings rarely feed the next round of optimization in time.
Limited samples; latent demand is hard to catch
Traditional research covers too little, manual analysis is slow, and consumer quotes and real scenarios are rarely fully understood.
Opportunity screening relies on experience
Different opportunities lack a common comparison basis; priority is easily swayed by personal experience and partial data.
Concepts look alike; selling points drift from real demand
Insight and creative production are disconnected. Product concepts struggle to connect audience, scenario, need, and brand strengths at once.
Departments work in sequence; feedback is slow
Marketing, R&D, sales, and others validate in stages. Information travels slowly; decision criteria stay fragmented.
Testing cycles are long; feedback cannot quickly feed the next round
Concept testing and concept iteration are separate. Results rarely drive timely adjustments to direction, selling points, and content.
A new-product decision loop from demand identification to concept validation
Nine AI agents work together to gather multi-source data—from opportunity identification and market feasibility to new-product concepts—then AI Consumer research continuously corrects direction and proposals, connecting judgment, generation, and validation into a loop.
Nine AI agents run through the full Product Innovation Job
Nine AI agents share knowledge, user data, and content capability—from opportunity identification and feasibility through new-product concepts and consumer feedback.
AI Omnichannel Market Performance Agent
Analyze multi-channel market size, growth, and product performance to identify market change and growth signals.
AI Social Content Trend Insight Agent
Identify social topics, content, and engagement trends to surface emerging scenarios and shifts in consumer mindshare.
AI Competitive Landscape & White-Space Agent
Analyze competitor lineup, selling points, and supply gaps to locate unmet market space.
AI Consumer Persona & Scenario Insight Agent
Connect user tags, behavior, and research data to identify audience traits, purchase motives, and usage scenarios.
AI New-Product Category Strategy Agent
Combine category attractiveness, trends, competition, and brand fit to form an entry-strategy judgment.
AI New-Product Opportunity Scoring Agent
Compare opportunity priority across demand potential, market size, competition, and feasibility.
AI New-Product Direction Distillation Agent
Distill high-potential opportunities into a new-product direction with a clear audience, scenario, benefits, and product elements.
AI Content & Proposal Generation Agent
Turn the new-product direction into reviewable product concepts, selling-point language, and proposal content.
AI Consumer Research & Orchestration Agent
Let AI Consumer take part in concept testing, gather feedback, and keep optimizing direction and proposals.
Customer practice
Facing intensifying competition in tea beverages and shorter new-product life cycles, a tea brand used Product Innovation to analyze macro, social, and sales data and form product-concept and ingredient-combination recommendations. The practice used data validation to reduce blind new-product launches and shorten the path from market opportunity to product proposal.
A tea beverage brand
Start new-product decisions with market validation
Start with a product demo, and see how nine AI agents turn scattered signals into verifiable new-product directions.
