Mid-market supply chains
run on experience and Excel.
Until they don't.
Turning fragmented supply chain data into clear, actionable intelligence.
We move fast.
No new systems. No IT projects.
The data exists.
The clarity doesn't.
Inventory Blindness
Replenishment runs on instinct, not data. Meanwhile, one warehouse is overstocked while another runs dry.
Manual Reporting
Two days a week spent building reports in Excel. By the time they're done, the data is already stale.
Demand Volatility
A small dip in retail triggers a massive overorder upstream. The response arrives too late: either stockouts or excess inventory piling up.
Freight Black Box
Freight invoices are paid without systematic audit. Surcharges pile up unnoticed, carrier performance goes unscored, and rate competitiveness is rarely questioned.
Data Silos
ERP, WMS, and TMS each tell a different story. Reconciling them takes hours and still ends in disagreement.
Most firms give you a report and leave.
We stay.
Four stages from data chaos to operational clarity.
Analyze
Analyze
Data sources are connected, silos broken down, and everything unified into a single layer. Clean data is then visualized and structured to give a clear, multi-dimensional picture of how your operations are actually performing.
Discover
Discover
With connected data in hand, hidden patterns begin to surface. Statistical modeling, trend analysis, anomaly detection, and benchmarking against industry standards reveal the root causes behind what the numbers show.
Recommend
Recommend
Findings are translated into specific, actionable next steps. Not generic best practices. Concrete recommendations grounded in your data and built for your situation.
Implement
Implement
Every recommendation is carried through to implementation, embedded directly into your team's processes and internal capabilities.
Inventory Intelligence
Solution Deliverables
Real-Time Inventory Dashboard
Cross-warehouse, cross-SKU visibility with turnover rates and dead stock flags
Monthly Inventory Health Report
Excess inventory value, stockout-risk SKUs, and aging inventory list
Replenishment Recommendation Model
Turns operational data into clear replenishment actions: when to order, what to order, and how much
Automated Alerts
Triggered when stock falls below threshold or exceeds aging limit
Quarterly Optimization Review
Trend analysis and replenishment strategy adjustment every 3 months
Data In
Dashboard
Recommend Model Build
Delivery
Reporting Automation
ERP, WMS, and TMS each hold different data, with little connection between them.
Data quality issues go undetected until someone spots a mistake in a meeting.
No standard KPI definitions. Every department calculates the same metric differently.
14 hours per week lost to manual data pulling and report building. Wakefield Research, 2024 · n=250 supply chain executives
Reporting knowledge sits with one person. If they leave, the process breaks.
Unified data pipeline connects ERP, WMS, TMS into a single source of truth
Data quality dashboard monitors accuracy in real time and flags anomalies
Standard KPI definitions agreed across all departments. One set of numbers, no disputes.
Reports auto-generate and deliver to management on a fixed schedule, without manual work.
Operations manual ensures the team can maintain and expand independently.
Demand Signal Analytics
The Bullwhip Effect: Demand Amplification by Stage
Bullwhip diagnostic that identifies where amplification is occurring in your chain
Data-driven forecasting model combining statistical methods and machine learning, capturing seasonality, trends, and demand patterns
Forecast accuracy dashboard comparing prediction vs. actuals on a rolling basis
Seasonal planning guidance typically delivered 8–12 weeks before peak periods
Monthly forecast updates and results review sessions
Data Setup
Model Build
Forecast
Delivery
Updates
Transportation Cost Intelligence
Operations Command Center
Center
Resource Planning
Mgmt System
Mgmt System
Payable
TMS · AP
Pipelines
data gaps
Alerts · Reports
KPI Metric Implementation
We translate agreed KPI definitions into validated calculation logic. Every number on the dashboard traces back to a documented formula and a verified data source.
Live Management Dashboard
All supply chain KPIs in one view. Drill down by department, location, or time period on demand.
Automated Alert System
Threshold-based alerts notify the right owner when a metric deviates. Issues surface before they escalate.
Scheduled Report Distribution
Automated reports delivered to the right stakeholders: weekly summaries for operations, monthly performance packs for leadership, always pulling live data without manual steps.
Three things that make us different.
Data to Action
We stay through implementation, working alongside your team until insights become operational decisions your team makes independently. Every engagement is built around capability transfer, so your team can run it on its own.
Implementation IncludedVertical Focus
We work exclusively with supply chain, warehouse, and logistics companies. Every engagement, every metric, every recommendation is shaped by deep specialization in this one domain.
Supply Chain OnlyMid-Market Built
Enterprise-quality analytics priced for growing businesses. Rigorous analysis, practical scope, and lean overhead built for mid-market budgets.
Right-Sized EngagementStart with a free
Data Health Check.
In two weeks, you'll know exactly where your supply chain data is costing you money, and which problem is worth solving first.
Intake Form
20 minutes
Discovery Call
1 hour
Data Review
We do the work
Report & Recommendations
Clear next steps