Datanurd | Product

Tool for

CEOs, Founders, COOs, CFOs, Heads of Ecommerce, Operations Managers, Inventory & Supply Chain Managers, Growth & Marketing Leaders, and Analysts.

30-day money-back guarantee.

20% discount for the month of May.

Starter

From $799 / month $999

20% off for the month of May

Best for: brands that need core KPI visibility, margin protection, and inventory control.

Outcomes you get

10-20% faster decisions. Get one clear view of sales, margin, refunds, discounts, and inventory instead of scattered reports.
3-8% reduction in margin leakage. Spot refund spikes, promo abuse, discount overuse, and low-margin products earlier.
5-15% less cash trapped in slow-moving stock. Identify hero products, rising SKUs, slow movers, and deadstock before they become expensive.
8-18% lower stockout risk. Use reorder signals to see which products need attention before they run out.

Percentages are based on typical outcome ranges for ecommerce brands after improving reporting visibility, inventory control, promo tracking, and margin monitoring. Actual results depend on data quality, traffic volume, SKU complexity, margins, and how quickly actions are implemented.

What's included

Executive KPI Command Center. One automated dashboard for revenue, orders, gross margin, net sales, refunds, discounts, inventory value, and stock health. Typical outcome: 10-20% faster reporting and decision-making.
Margin Leak Monitor. Detect where profit is leaking through refunds, promo codes, markdowns, low-margin SKUs, and discount-heavy orders. Typical outcome: 3-8% reduction in refund, promo, and margin leakage.
Revenue Driver Breakdown. Break down exactly what is driving revenue across products, categories, discounts, refunds, and customer segments. Typical outcome: 5-12% better budget and product prioritization.
Hero SKU & Velocity Map. Identify hero products, rising products, slow movers, deadstock risk, variant performance, and repeat-purchase signals. Typical outcome: 5-15% reduction in slow-moving stock exposure.
Stock Reorder Risk Board. See which SKUs are “reorder now”, “at risk”, “healthy”, or “deadstock” based on sales velocity and inventory cover. Typical outcome: 8-18% lower stockout risk and better inventory timing.
Automated Data Sync. Automated API ingestion so your dashboards update without manual spreadsheet work. Typical outcome: 60-85% less manual reporting work.
Weekly Performance Report. A weekly summary of what changed, what is leaking money, what needs attention, and what actions to take next. Typical outcome: 10-25% faster issue detection and follow-up.
Industry Benchmark View. Compare your performance against similar brands by category, growth stage, and ecommerce operating patterns. Typical outcome: 5-10% better prioritization of weak areas.
Standard Support. Support for setup, dashboard usage, KPI questions, and reporting checks.

Typical early win: Starter usually helps uncover 1-3 margin, inventory, or reporting problems within the first few weeks.

AI

From $1,599 / month $1,999

20% off for the month of May

Best for: brands that need predictive, prescriptive, and AI-powered decision support.

Outcomes you get

5-15% better revenue decisions. Prioritize the actions most likely to improve sales, margin, and cash flow.
10-20% better inventory planning. Use demand signals, reorder risk, and forecast trends to buy with more confidence.
5-12% conversion improvement opportunities. Find high-intent shoppers, almost-bought products, and drop-off points by SKU.
50-80% less ad-hoc analysis time. Ask questions in plain English instead of digging through dashboards manually.

Percentages are based on typical outcome ranges for ecommerce brands using predictive analytics, recommendation systems, purchase-intent tracking, and AI-assisted analysis. Actual results depend on traffic volume, data quality, product mix, margin structure, operational discipline, and speed of execution.

What's included

Everything in Starter.
Competitor Price & Promo Intelligence. See how your pricing, promotions, stock availability, and offer positioning compare to competitors. Typical outcome: 3-8% improvement in pricing, promo, and margin decisions.
AI Recommendation Engine. Get recommendations ranked by expected revenue lift, margin impact, urgency, and confidence. Typical outcome: 5-15% revenue lift on acted-on opportunities.
Purchase Intent Radar. Track intent by SKU, session, and customer so you can see which products shoppers almost bought, where they dropped off, and who is most likely to convert next. Typical outcome: 5-12% uplift in targeted conversion opportunities.
Central Action Board. One prioritized action board across inventory, pricing, marketing, refunds, customers, and margin. Typical outcome: 15-30% faster prioritization across teams.
Executive Copilot. A vertical AI assistant trained on your store data so you can ask questions like “Where are we leaking margin?” or “Which SKUs should we reorder first?” Typical outcome: 50-80% less time spent on manual analysis and report digging.
Revenue Forecasting System. Forecast revenue trends, sales momentum, product demand, and expected performance shifts. Typical outcome: 10-20% better planning visibility for revenue and demand decisions.
Inventory Forecasting System. Predict which SKUs are likely to stock out, overstock, or slow down based on velocity and demand patterns. Typical outcome: 8-18% lower stockout and overstock risk.
Margin-Aware Marketing View. Connect campaign performance back to gross margin, product profitability, refunds, discounts, stock levels, and repeat purchase. Typical outcome: 5-15% better marketing budget allocation.
Priority Support. Faster support for setup, decision logic, AI recommendations, forecasting checks, and executive reporting.

Ideal when SKU complexity, stock decisions, promo strategy, and marketing efficiency are the main growth constraints.

Pricing by Revenue Stage

Pricing scales with brand size, data complexity, and decision impact.

Why pricing increases for higher-revenue companies: higher revenue usually indicates a larger company with more orders, more SKUs, more tools, and higher data volume. That increases infrastructure costs such as data storage, processing, model usage, API usage, and decision-system maintenance.

$0 - $5M / year

Starter -> $799 / month $999

AI -> $1,599 / month $1,999

$5M - $15M / year

AI -> $3,999 / month $4,999

$15M+ / year

AI -> Custom

Outcome ranges are not guarantees. They are typical improvement ranges based on common ecommerce gains from better reporting, better margin visibility, stronger inventory decisions, cleaner marketing measurement, and faster action-taking.