eCommerce Teams: Stop guessing. Start reconciling.

aidnn helps eCommerce ops teams turn messy ERP exports, 3PL invoices, and warehouse data into verified analysis in minutes.

Retail AI data analytics dashboard showing NeoCortex analyzing sell-through velocity, inventory, weeks of supply, stockout-adjusted retail analytics, and AI-ready retail business intelligence from Isotopes AI aidnn.

Stockout & Lost Sales Analysis

Identify fast-moving products at risk of stockout before inventory shortages lead to lost revenue and missed sales opportunities.

How It Works

What eCommerce Teams Use aidnn For

From inventory and order reconciliation to customer analytics and fulfillment, Isotopes AI | aidnn helps eCommerce teams turn fragmented commerce data into trusted operational intelligence.

Order Reconciliation

Reconcile order, payment, and fulfillment data across platforms to identify discrepancies faster.

Inventory Optimization

Analyze inventory movement and demand signals to reduce stockouts and improve fulfillment.

Customer Revenue Analysis

Connect customer, product, and sales data to uncover revenue opportunities and improve conversion.

The Problem

eCommerce Data is Fragmented

aidnn is built to reconcile it.

Retail data analyst in New York City reviewing inventory, sales, and ERP data on a mobile device while managing eCommerce operations and data reconciliation workflows.

From ERP exports with broken headers to 3PL invoices that don't match your contracted rates, your data lives everywhere, which makes verifying answers challenging for most tools.

  • ERPs, warehouse files, and 3PL invoices don't connect, forcing manual cleanup instead of analysis.

  • Joining SKU data across NetSuite, warehouse systems, and 3PL portals takes days of manual work every month.

  • Reconciliation is slow, error-prone, and sensitive pricing data can't leave your environment.

NeoCortex connecting and reconciling datasets to prepare verified, AI-ready data for analytics.

The Intelligence Layer Behind Better eCommerce Decisions

Verify Consistent eCommerce Analysis with aidnn

70%

Reduction in manual reconciliation time

90%

Accuracy target for multi-source data consolidation

5X

Faster on multi-source, multi-step workflows

0

Data engineers needed to get answers


From Messy Data to Clear Decisions

From 3PL billing disputes to inventory variance reports, aidnn handles your most complex, data-rich workflows without a data engineering team.

Frequently Asked Questions

What does aidnn do for eCommerce teams?

aidnn is an AI agent that turns messy ERP exports, 3PL invoices, and warehouse data into verified analysis in minutes. Teams use it for 3PL reconciliation, inventory variance, channel profitability, stockout analysis, and vendor rebate recovery.

Can aidnn catch 3PL overbilling?

Yes. aidnn reconciles 3PL invoices against contracted rates and warehouse data, surfacing overpayments and rate violations. It works from invoices and exports as they arrive, including files with broken headers and inconsistent SKU identifiers.

How does aidnn match SKUs across systems that name them differently?

SKU reconciliation is part of the analysis, not a prerequisite. aidnn resolves conflicting identifiers across ERP, warehouse systems, and 3PL portals as it runs, then verifies the matches.

Does our pricing data leave our environment?

No. aidnn can be deployed so data never leaves your environment. Environments are isolated and encrypted, aidnn does not train models on customer data, and Isotopes AI maintains SOC 2 Type II compliance.

How much does aidnn cost?

Pricing is custom. aidnn is sold as an enterprise product through our sales team, and there is no public price list or self-serve tier. Contact sales for pricing.

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Ready to put aidnn to work?

We run free, structured POCs with clear success criteria. Bring your messiest 3PL invoice or inventory file. We'll show you what's possible.

Financial data reconciliation dashboard interface showing file upload section with multiple PDF files listed and a note explaining reconciliation instructions for Q1 2025 vendor invoices and expense reports.