AI-Powered Amazon Business Analytics
Amazon Business Sellers get the insights of Executives in the Board room with Aitium’s AI-powered analytics dashboard that transforms raw Seller Central data into actionable insights for your key B2B customers. Aitium’s AI Agent surfaces patterns in buyer behavior, purchase frequency, and product affinity—giving sales leaders a real-time lens into strategic Amazon B2B buyer analytics. Whether you're targeting enterprise procurement teams or mid-market B2B buyers, Aitium helps you segment, prioritize, and personalize outreach at scale.
Customer Intelligence
Access customer data—including name, city, region, postal code, products, and revenue—to surface revenue patterns, pinpoint high-value accounts, and detect early signs of churn or expansion with precision.
Growth Activation
Leverage built-in Amazon Business tools to prioritize key accounts, target emerging markets, and activate data-driven strategies that drive measurable growth across products and regions.
Sales and Traffic Reporting
Aitium’s AI-enhanced Sales and Traffic Reporting module offers a centralized Amazon Business reporting dashboard that tracks performance across SKUs, categories, and buyer segments. It visualizes traffic sources, conversion rates, and sales velocity—enabling precise Amazon B2B sales optimization. Whether you're analyzing Sponsored Products impact or organic visibility, Aitium’s AI Agent reveals the true ROI of every channel.
This module will support Amazon advertising optimization AI-agent workflows, helping Sellers reduce Amazon PPC spend and lower Amazon ACoS. With integrated attribution modeling and customizable filters, Sellers can pinpoint which campaigns drive qualified traffic and which have the best conversion among Amazon Business customers.
Historical Trends
Aitium’s Historical Trends engine empowers Amazon Business Sellers to analyze multi-year performance across product lines, buyer cohorts, and seasonal cycles. This feature is essential for Amazon inventory forecasting AI-agent workflows, enabling smarter demand planning and replenishment strategies. By surfacing long-term patterns in B2B purchasing, Aitium helps Sellers anticipate bulk order windows and corporate procurement cycles.
The dashboard also supports retrospective analysis of Amazon Sponsored Products costs, campaign efficiency, and buyer retention. With built-in AI logic for Amazon Business retention, Sellers can identify which SKUs drive repeat purchases, and which pricing strategies sustain long-term engagement.
AI-Model Forecasting (Enterprise)
Designed for enterprise teams, Aitium’s Forecasting Module uses up to 6 AI-Models to deliver precise demand planning tailored to strategic customer B2B replenishment cycles. It ingests historical sales, traffic signals, and buyer behavior to generate SKU-level forecasts and inventory recommendations. This is not just an AI forecasting tool—it’s a strategic lever for Amazon inventory forecasting and bulk order planning.
With scenario modeling and override capabilities, leaders can simulate pricing changes, promotional lifts, and supply chain constraints. The module integrates seamlessly with your Amazon Business analytics tool, enabling proactive decisions that reduce stockouts, cut Amazon Sponsored Products costs, and improve Amazon PPC ROI calculator accuracy.
Cross-Market AI Analytics (Enterprise)
Aitium’s Cross-Market AI Analytics module enables enterprise teams to compare performance across Amazon marketplaces, buyer types, and product categories. It’s a powerful extension of your Amazon Business Market Intelligence platform, revealing geographic expansion opportunities and cross-border demand signals. Whether you're evaluating Amazon Business expansion tools or optimizing global SKU assortments, this module delivers clarity.
Executives can benchmark traffic, conversion, and retention across regions, while surfacing localized trends in Amazon B2B sales optimization. With built-in filters for corporate buyer behavior, pricing elasticity, and RFQ responsiveness, Aitium helps you tailor strategy by market and maximize enterprise growth.
AI-Powered Solutions Built for Amazon Business Sellers
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Aitium’s AI Agent identifies repeat B2B buyers. It tracks purchase frequency, contract value, and RFQ responsiveness to surface high-potential accounts. This powers AI workflows for B2B customer retention that prioritize re-engagement and upsell opportunities.
With predictive scoring and automated segmentation, Sellers can tailor outreach to procurement leads most likely to reorder. Aitium also flags dormant accounts and churn risks, enabling proactive retention strategies that drive long-term Amazon B2B sales optimization.
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Aitium’s AI agent for advertising optimization helps Sellers reduce Amazon PPC spend and lower Amazon ACoS using real-time performance data and predictive modeling. It identifies underperforming keywords, overbid campaigns, and low-converting SKUs—then recommends adjustments that cut Amazon Sponsored Products costs without sacrificing reach.
The platform also analyzes return rates and buyer feedback to surface product-level risks. By integrating Amazon advertising optimization software with return cost analytics, Aitium enables smarter budget allocation and SKU-level ad suppression, improving overall campaign ROI.
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Aitium’s AI agent for pricing intelligence helps Sellers optimize business pricing and quantity discounts for Amazon Business customers. It analyzes competitor pricing, buyer sensitivity, and bulk order thresholds to recommend discount tiers that maximize margin and conversion. This is essential for winning RFQs and sustaining B2B replenishment cycles.
The Aitium AI agent also supports dynamic pricing experiments, enabling Sellers to test elasticity across buyer segments. With built-in Amazon Business analytics tool integration, executives can monitor the impact of pricing changes on traffic, conversion, and repeat purchase behavior.
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Aitium’s AI Agent for RFQ optimization helps Sellers win more bulk orders by analyzing buyer behavior, pricing competitiveness, and response timing. It integrates with Amazon Business expansion tools to surface RFQ opportunities aligned with your inventory and margin goals. This is critical for scaling Amazon B2B sales optimization across enterprise accounts.
The platform also models RFQ win probability based on historical trends, enabling sales teams to prioritize high-value opportunities. With automated alerts and response templates, Aitium accelerates RFQ turnaround and improves win rates across categories.
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Aitium has AI forecasting models purpose-built for B2B replenishment cycles. The Aitium AI agent combines demand planning with historical purchase data to predict when strategic Amazon Business buyers will reorder, how much they’ll need, and which SKUs are at risk of stockout. This powers Amazon inventory forecasting software workflows that reduce waste and improve fulfillment.
The AI agent also supports scenario-based planning, allowing teams to simulate promotional lifts, seasonal spikes, and supply chain delays. With integration into your Amazon Business intelligence platform, Aitium ensures your replenishment strategy is always aligned with buyer demand.