Plans & Pricing
MarketNex.AI delivers advanced retail forecasting, pricing intelligence, sentiment insights, and competitor analysis in a transparent, founder-friendly pricing model. While platforms like Stylumia, Heuritech, WGSN, Woven Insights, SymphonyAI, and Trendalytics focus primarily on enterprise contracts, MarketNex provides equally powerful and in several areas deeper AI capabilities that are accessible to brands at every stage.
From early-stage D2C founders managing a single hero SKU, to fast-growing brands scaling across channels, to enterprise retail teams operating 15+ SKUs — our plans are designed to grow with your catalog, your data maturity, and your business needs. Every plan includes SKU-level forecasting, real-time insights, and AI-driven recommendations to help you improve demand accuracy, optimize pricing, understand sentiment, and stay ahead of competitors.
$ 50 / month
Predictive Analytics, Inventory Optimization, Trend Analysis, AI Campaigns, Demand Forecasting, Social Sentiment Analysis.
STARTUP
Startup
- Forecast Horizon - 1 Month
- Competitors trends - 1 Keyword
- Prediction Accuracy ~85–90%
- Historical Data - 12 months
- Daily Orders - 500 / Product
- Product Count - One
- 60 days trial period
$ 200 / month
STARTUP + Price Optimization, Real-Time Analytics, Retail Intelligence.
PROFESSIONAL
Professional
- Forecast Horizon - 3 Months
- Competitors Trends - 3 Keywords
- Prediction Accuracy ~85-90%
- Historical Data - 24 Months
- Daily Orders - 1000 / Product
- Product Count - Ten
- 60 days trial period
$ 500 / month
PROFESSIONAL + Competitor Pricing Intelligence, Social Sentiment Analysis reply, Customer Journey Mapping, UX Optimisation, A/B Testing, SKU Recommendations
ENTERPRISE
Enterprise
- Forecast Horizon - 6 Months
- Competitors Trends - 6 Keywords
- Prediction Accuracy ~85 - 90%
- Historical Data - 36 Months
- Daily Orders - 1500 / Product
- Product Count - 15
- 60 days trial period
CUSTOM PRICING
Question's Answer for Pricing Plan
What is the difference between Product Count and Product SKU Count?
A Product is the main item (e.g., “Sports Shoe”). A SKU is each variant (size, color, style). MarketNex forecasts and analyzes at product level.
Why does the Starter plan allow only 1 Product?
Starter is designed for early founders to test AI forecasting on a single hero product. Professional and Enterprise support larger catalogs.
What is AI Assistance in Professional and Enterprise plans?
AI Assistance is an AI Co-Pilot that provides:
Automated insights
Forecast interpretation
Pricing guidance
Competitor alerts
Marketing recommendations
Inventory optimization
Risk detection
SKU-level intelligence
What can AI Assistance actually help with?
AI Assistance can:
Recommend reorder quantities
Suggest pricing changes
Draft campaign ideas
Highlight fast/slow-moving SKUs
Predict stockouts
Detect sentiment spikes
Suggest bundles, offers, or promotions
Explain why forecasts go up or down
Provide revenue or margin impact simulations
Can AI Assistance help with supply chain decisions like which country to import raw materials from?
AI Assistance includes Supply Chain Intelligence, analyzing: Raw material cost by country Import duties Shipping times Logistics risks Currency volatility Supplier reliability Geopolitical risks It recommends the best country to source from, predicts future cost changes, and alerts you to potential supply disruptions.
Can I forecast all my products if I have 50+ SKUs?
Yes. Enterprise supports 15+ SKUs, with optional expansion.
Why is historical data (12–36 months) required?
Accurate forecasting needs:
Seasonal trends
Pricing elasticity
Sales patterns
Market cycles
More data = higher accuracy.
What if I don’t have 12 - 36 months of data?
You can still onboard using:
Partial historical data
Competitor signals
Category trends
Proxy datasets
AI Assistance adapts and improves accuracy as more data comes in.
What does “Prediction Accuracy 85–90%” mean?
It reflects how close forecasts are to real results using industry-standard accuracy metrics (MAPE).
MAPE stands for Mean Absolute Percentage Error, it’s one of the most widely used metrics to measure forecast accuracy.
What does “Daily Orders per Product” mean?
It’s your typical daily order volume.
Higher volume = richer data = stronger prediction accuracy.
Does MarketNex work for low-volume brands?
Yes. Starter and Professional tiers are optimized for early-stage and mid-volume brands.