Data Analytics & Operations Intelligence
We build AI-augmented analytics pipelines that surface what matters, inventory turns, order velocity, margin by client, anomalies before they become incidents. Real-time. Automated. Built for the people who run the operation, not just the people who built the database.
Talk About Your Data See pricing →What We Build
Not in a BI tool only one person knows how to use. Not in a spreadsheet that's two weeks stale. In a dashboard your ops team can actually act on.
Real-time views pulling from your ERP, WMS, or TMS. Inventory levels, order throughput, fulfillment rates, the numbers your ops team checks every morning, in one place without five browser tabs.
AI monitors your operational streams and flags when something's off, inventory below threshold, SLA at risk, fulfillment velocity dropping. Catch it before it becomes an incident report.
Clean, reliable pipelines from source to report. ETL, schema normalization, API integrations, and scheduled syncs, so your numbers are always current and your team trusts them.
AI models trained on your historical operational data to forecast demand, flag capacity risks, and surface optimization opportunities before they become problems.
Traditional analytics tells you what happened. AI-augmented analytics tells you what to do about it, automatically, in real time, without someone writing a query every time the business asks a question.
AI scans your operational data on a schedule and generates plain-language summaries of what changed, what's trending, and what needs attention, delivered to your inbox or Slack.
Stop reading reports looking for problems. AI surfaces the exceptions, the outliers, the anomalies, the things that are about to go wrong, so you start with what matters.
Ask your data a question in plain English. AI translates it into a query, runs it against your operational data, and returns an answer, without requiring a data analyst or a SQL ticket.
AI monitors your data pipelines for failures, schema drift, and data quality issues, and triggers remediation automatically, reducing the manual overhead of keeping data fresh.
Systems We Know
We've built analytics layers on top of major WMS platforms, NetSuite, SPS Commerce, QuickBooks, and custom SQL databases. We don't have to learn your stack from scratch, we already know the schema, the quirks, and where the data quality problems live.
That means faster builds, fewer surprises, and analytics that match your actual business logic, not a generic dashboard someone adapted from a template.
Real delivery. 3PL Operations.
Built a custom WMS analytics dashboard with RBAC, inventory value graphs across multiple warehouses (values in millions), SKU-level filtering, and client-level breakdowns, replacing a fragmented reporting workflow that required manual exports from three different screens.
Industries We Serve
Inventory value by warehouse, SKU, and client. Fulfillment SLA tracking. Receiving velocity dashboards. Built on WMS data.
Shipment tracking, carrier performance, cost-per-mile trending, and exception reporting across TMS data.
GL reconciliation dashboards, AR aging, cash flow projections, and audit-ready reporting tied to your GL system.
Usage analytics, churn indicators, customer health scores, and revenue tracking across your subscription base.
Data stack & tooling
Let’s Talk
Most engagements start with a single conversation. Tell us what’s broken, what’s slowing you down, or what you’re trying to build. We’ll give you a straight answer, no pitch deck, no fluff. If we’re a fit, great. If not, we’ll tell you that too.
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