Dema

What Dema does

Dema is an agentic operating system for commerce that unifies data, daily decisions, and measurement into one platform, enabling teams to act with confidence. It provides a no-code tool for e-commerce data insights, helping commerce teams lower acquisition costs, protect margin, and move faster. The platform offers real-time dashboards, AI-powered insights, and automation for various aspects of e-commerce operations, including marketing optimization, inventory intelligence, financial controlling, and creative generation. Dema aims to make advanced analytics accessible to all brands, not just industry giants, by providing a comprehensive commerce intelligence platform.

Products

• Commerce analytics suite (Foundation)Essential commerce data in a single, real-time dashboard for e-commerce brands, omnichannel retailers, and performance teams.
• Unified measurement (Add-on)Attribution, Marketing Mix Modelling, and Incrementality Testing in a single, intelligent framework.
• Omnichannel analytics (Add-on)Connects online and offline performance, tying digital spend to in-store sales and vice versa.
• Marketing optimizationAn agent connected to true profitability, new customer acquisition, and every cost line, optimizing marketing on metrics that matter, not platform-reported ROAS.
• Inventory intelligenceAn agent that connects inventory forecasts to marketing spend to prevent advertising out-of-stock items and promote slow-moving inventory.
• Financial controllingProvides net profit after every cost and return, by market, channel, and product, with profit forecasts and board-ready reports.
• Creative generationGenerates fashion photography, product visuals, and campaign assets guided by brand DNA, with creative performance analysis and fatigue detection.
• Nano appsSmall tools that turn recurring decisions into focused applications and skills for faster team operations.
• Agentic workspaceA workspace where teams can ask questions, monitor risks, create working tools, and approve actions, with agents providing context for faster decisions.

Key capabilities

• Real-time commerce performance dashboard
• Unified reporting across marketing and e-commerce data
• Product, variant, and collection-level tracking
• AOV, CVR, bounce rate and revenue insights
• Marketing spend and CAC across channels
• Full integration of MMM, MTA, and Incrementality Testing
• Incrementality testing with lift tests, holdouts & geo experiments
• Scenario modelling & budget planning
• Integration with POS systems (Shopify POS, Lightspeed, Sitoo)
• Cross-channel customer journey tracking
• Store-by-store performance dashboards
• Offline sales attribution for digital campaigns
• Custom location tags and geo-based segmentation
• Campaign profitability analysis (Contribution margin after all costs)
• Budget allocation based on MMM-backed response curves
• Feed optimization (Product segments synced to Google and Meta custom labels)
• ML-powered sell-through forecasts for every SKU, category, and warehouse
• Stock vs. exposure analysis
• Automated exclusions of at-risk products from ads
• Daily forecasts for orders, inventory, and revenue
• Product segment rules based on inventory metrics and performance data
• Custom label sync to Google and Meta feeds
• Full cost chain analysis (Gross sales to NGP3)
• Multi-market P&L breakdown
• Order, revenue, and profit forecasts that update daily
• On-brand creative generation (fashion photography, flat lays, lifestyle shots)
• Creative fatigue detection (CTR decay, frequency thresholds, audience overlap)
• Creative format analysis by channel, audience, and market
• AI Agent for reasoning, analytics, and automation
• Agentic data layer for a trusted view of business performance
• Custom AI skills for automation (e.g., procurement forecasting, marketing budgets, weekly reporting)
• API access
• Custom dashboards & saved reports
• Unlimited team members
• Credit-based pricing for AI features (Opus and Sonnet models)
• Data browsing & filtering

Use cases

• Lowering customer acquisition costs
• Protecting profit margins
• Accelerating team decision-making
• Diagnosing contribution-margin shifts across markets
• Detecting stockouts and suggesting ad exclusions
• Automating weekly meeting agendas
• Comparing Google vs Meta ROAS performance
• Scanning for creative fatigue in ads
• Approving new product creatives
• Segmenting new customer cohorts and computing LTV
• Tracking CAC trends by channel
• Rebalancing budgets toward top-performing channels
• Human sign-off on budget shifts, markdowns, and audience changes
• Automating procurement forecasting
• Automating marketing budgets
• Automating weekly reporting
• Incrementality testing to separate real growth from ad platform over-attribution
• Focusing marketing on high-margin styles
• Unifying data across channels
• Measuring true incrementality
• Optimizing marketing based on true profitability
• Identifying unprofitable campaigns after all costs
• Optimizing budget allocation across channels and markets
• Adjusting product feeds based on margin, stock, and performance
• Avoiding overstock and stockouts through AI-driven inventory predictions
• Minimizing wasted ad spend on out-of-stock products
• Planning buys, timing markdowns, and allocating marketing spend with confidence
• Identifying products with high margin but low sell-through for increased exposure
• Tracking net profit after every cost and return by market, channel, and product
• Forecasting profit impact and tracking cost structures
• Generating board-ready financial reports
• Generating fashion photography, product visuals, and campaign assets
• Analyzing creative performance and detecting fatigue
• Optimizing budgets for profitable growth in real time
• Streamlining processes and improving operational efficiency

AI approach

Dema.ai uses AI agents and machine learning for commerce intelligence, providing features like profit planning, stockout detection, budget rebalancing, creative fatigue scanning, and custom AI skills. It leverages large language models (Opus and Sonnet) for data questions and analysis, and ML-powered predictions for sell-through forecasts. The platform also includes AI-powered creative generation for fashion photography and product visuals.

Tech named: Claude Opus 4.8, Opus, Sonnet, ML-powered predictions, AI agents, Marketing Mix Modeling, incrementality testing, causal factor attribution

Industries served

• E-commerce
• Omnichannel retail
• Fashion
• Sportswear
• Beauty
• Home goods
• Books & media
• Activewear & athleisure
• Hardware & fittings
• Phone cases & tech accessories
• Interior design & furniture
• Camping & outdoor gear
• Plants & garden supplies
• Hats & headwear
• Jewelry & accessories
• Hair extensions & hair care
• Equestrian apparel
• Sports nutrition & supplements
• Rugs & carpets
• Baby bottles & feeding products
• Wallpaper & wall murals
• Personalised gifts & homeware
• Kitchen & cooking equipment
• Luxury fashion & accessories

What it says sets it apart

• Agentic OS for commerce, unifying data, decisions, and measurement
• AI agents bring context for faster decisions and controlled actions
• No-code tool for e-commerce data insights
• Focus on true profitability (epROAS) rather than platform-reported ROAS
• Unified analytics across marketing and e-commerce data
• Integration of Marketing Mix Modeling, Incrementality Testing, and Causal Factor Attribution
• AI-driven inventory predictions to avoid overstock and stockouts
• Automated exclusion of at-risk products from ads
• Real-time P&L by market, channel, and product, accounting for all costs
• AI-powered creative generation guided by brand DNA with fatigue detection
• Ability to build custom AI skills and nano apps without coding
• Comprehensive integrations with ad platforms, e-commerce platforms, analytics tools, and more
• Dedicated onboarding manager and priority support included with all plans
• Flexible credit-based pricing for AI features with different model capabilities (Opus, Sonnet)
• Founded by experienced e-commerce pioneers to make great analytics available for all brands

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.