Supply Chain Data Analysis as a Service

Continuous insight without building internal analytics teams

Supply Chain Data Analysis as a Service

Continuous insight without building internal analytics teams

Organizations often lack the capacity to continuously analyze supply chain data at the depth required for decision-making. U2xAI provides managed supply chain analytics as a service, delivering insights on an ongoing basis.

The Analytics Gap

Most companies face a critical challenge: data-rich but insight-poor.

Your ERP generates thousands of daily transactions. Planners manually export data to Excel. Executives receive stale monthly summaries. Critical patterns go undetected until they become crises.

The internal analytics dilemma:

  • Building a team costs $300K-$500K annually plus 6-12 months to develop capabilities

  • IT and BI teams prioritize finance and sales over supply chain

  • One-time consulting projects deliver insights that become outdated within weeks

  • Excel-based analysis is reactive, not proactive

U2xAI provides continuous, executive-ready analytics without the cost and complexity of building an internal team.

What We Analyze

Demand Performance and Forecast Error Drivers

  • Forecast accuracy trends by product, category, and time horizon

  • Forecast bias detection and systematic error patterns

  • Root cause analysis of forecast degradation

  • Leading indicators of changing demand patterns

Insight example: "Forecast accuracy for Electronics declined from 42% to 51% MAPE. Root cause: New competitor launched, promotional activity increased 30%. Recommendation: Incorporate competitive tracking into forecasting model."

Inventory Health, Aging, and Obsolescence Risk

  • Inventory aging analysis and slow-moving stock identification

  • Excess inventory by SKU with recovery recommendations

  • Dead stock detection and liquidation strategies

  • Stockout risk analysis and revenue exposure

Insight example: "You have $2.4M in inventory aged 90+ days. Top 20 items account for $1.1M. Clearance strategy can recover $700K-$800K before write-offs."

Service Levels, Fulfillment Performance, and Constraints

  • OTIF performance tracking and trend analysis

  • Fill rate and backorder root cause analysis

  • Perfect order rate and customer satisfaction metrics

  • Fulfillment bottleneck identification

Insight example: "OTIF declined from 92% to 84%. Root cause: 60% due to stockouts on 8 high-volume SKUs. Recommendation: Increase safety stock on critical items and implement wave planning for warehouse workload."

Cost Drivers and Inefficiencies Across the Network

  • Freight cost optimization opportunities

  • Expedite premium tracking and elimination strategies

  • Inventory carrying cost breakdown

  • Supplier cost variance and contract compliance monitoring

Insight example: "Expedite costs increased from $180K to $420K annually. Root cause: Chronic stockouts on 5 SKUs. Recommendation: Increase safety stock by $150K to eliminate $300K in expedite costs."

How the Service Operates

Regular Analysis Cycles

Monthly cadence for $50M+ revenue or high-growth companies
Quarterly cadence for $20M-$50M revenue or stable businesses

Each cycle includes:

  • Data extraction and quality validation

  • Analysis and insight generation

  • Executive briefing and recommendations

  • Ad-hoc support for urgent questions

Executive-Ready Deliverables

Executive Dashboard (1-page)

  • Scorecard with 8-12 KPIs vs. targets

  • 6-month trend charts for critical metrics

  • Top 3 issues requiring executive attention

  • Top 3 highest-impact improvement opportunities

Insight Brief (5-10 pages)

  • Executive summary with key findings

  • Root cause analysis for performance issues

  • Business impact quantification

  • Prioritized recommendations with expected outcomes

Action Tracker

  • Status of previous recommendations

  • New priorities for current cycle

  • Timeline and ownership

Root-Cause Analysis Process

We go beyond "what happened" to "why it happened" and "what to do about it":

  1. Identify the symptom (e.g., OTIF declined from 92% to 84%)

  2. Decompose the problem (stockouts vs. warehouse capacity vs. carrier delays)

  3. Drill down to root causes (demand spike, supplier delay, forecast error)

  4. Quantify impact (revenue at risk, cost exposure)

  5. Prioritize recommendations by impact and effort

  6. Monitor results and iterate

Ad-Hoc Support

Business doesn't wait for the monthly report. We provide on-demand analytical support for:

Executive strategy questions:

  • New sales channel inventory requirements

  • Distribution center location analysis

  • Working capital reduction scenarios

  • Customer contract negotiations

Operational urgency:

  • Supplier disruption impact assessment

  • Flash sale inventory availability

  • Large order fulfillment feasibility

  • Month-end inventory variance investigation

Response time:

  • Urgent requests: Same-day initial response, full analysis within 48 hours

  • Standard requests: 3-5 business days

Data Integration

Systems we connect to:

  • ERP: Oracle Cloud, SAP, NetSuite, Microsoft Dynamics, Sage, Epicor

  • WMS: Manhattan, Blue Yonder, HighJump, Oracle WMS, custom systems

  • Planning tools: Kinaxis, Blue Yonder, o9 Solutions, Logility, Anaplan

  • Spreadsheets: Excel/Google Sheets exports

  • EDI/API feeds: Supplier, 3PL, carrier data

Integration methods:

  • API/database connection (preferred): Real-time or daily sync

  • Scheduled exports: Weekly/monthly delivery to secure storage

  • Cloud data warehouse: Connect to Snowflake, BigQuery, Redshift

Security:

  • SOC 2 Type II certified

  • Data encrypted in transit and at rest

  • GDPR and CCPA compliant

  • Role-based access controls

Value Delivered

Reduced Firefighting

The problem: Teams spend 60-80% of time reacting to urgent issues.

Our solution: Early warning system identifies risks 2-4 weeks before crises occur. Root cause analysis fixes underlying issues, not just symptoms.

Outcome: 50-70% reduction in firefighting time. Planners shift from reactive to proactive mode.

Improved Visibility and Transparency

The problem: Fragmented data, inconsistent reports, finger-pointing when things go wrong.

Our solution: Single source of truth with standardized metrics and executive-friendly dashboards.

Outcome: Faster executive decisions, cross-functional alignment, reduced rework.

Faster Root-Cause Identification

The problem: Teams spend days or weeks debating causes while issues compound.

Our solution: Structured diagnostic process with data-driven investigation.

Outcome: 10x faster root cause identification. Higher fix success rate.

Better Strategic and Operational Decisions

The problem: Decisions based on gut feel, anecdotes, or outdated data.

Our solution: Data-driven insights, scenario analysis, benchmarking, and prioritized recommendations.

Outcome: Measurable improvement in decision quality and strategic agility.

Client Results

Industrial Equipment Distributor ($75M revenue)

Challenge: Inventory growing 30% YoY while revenue grew 12%. No understanding of why.

Results (6 months):

  • Identified $3.2M in excess/obsolete inventory

  • Cleared $2.1M through liquidation

  • Prevented $600K in additional accumulation

  • Reduced finance close cycle from 2 weeks to 3 days

E-Commerce Beauty Brand ($50M revenue)

Challenge: OTIF declining from 96% to 87% due to rapid growth. Customer complaints increasing.

Results (4 months):

  • OTIF recovered from 87% to 94%

  • Reduced stockouts 60% on top 50 SKUs

  • Improved forecast accuracy from 52% to 41% MAPE

  • Protected $300K in revenue

Food & Beverage Manufacturer ($120M revenue, PE-backed)

Challenge: PE mandate to reduce working capital by $5M. Operations team resisting cuts.

Results (12 months):

  • Reduced inventory from $22M to $16M (27% reduction)

  • Maintained OTIF at 93% throughout reduction

  • Improved days on hand from 72 to 50 days

  • Generated $1.5M annual carrying cost savings

Service Tiers

Essential Analytics

$5K-$8K/month
Best for: $20M-$50M revenue

  • Quarterly deep-dive analysis

  • Monthly KPI dashboard

  • 2 hours/month ad-hoc support

  • Email/Slack access during business hours

Proactive Analytics

$10K-$15K/month
Best for: $50M-$150M revenue

  • Monthly deep-dive analysis

  • Weekly KPI dashboard

  • 5 hours/month ad-hoc support

  • Email/Slack plus monthly office hours

Strategic Analytics

$18K-$25K/month
Best for: $150M-$500M revenue or PE portfolio companies

  • Bi-weekly deep-dive analysis

  • Real-time KPI dashboard

  • 10 hours/month ad-hoc support

  • Dedicated analyst plus weekly office hours

  • On-demand scenario modeling

Return on Investment

Typical ROI: 5-10x in Year 1

Example ($75M company at Proactive tier):

Annual investment: $150K

Value delivered:

  • Inventory reduction: 15% of $15M = $2.25M cash freed

  • Carrying cost savings: 25% of $2.25M = $562K annually

  • Stockout reduction: $400K revenue protection

  • Expedite elimination: $150K annual savings

  • Efficiency gains: $50K savings

Total annual benefit: $1.16M
ROI: 7.7x
Payback period: 1.5 months

Why U2xAI Is Different

vs. Business Intelligence Tools

BI tools provide dashboards you build and maintain yourself. They show what happened, not why or what to do.

U2xAI builds, maintains, and interprets analytics for you. We provide root cause analysis and actionable recommendations.

vs. Traditional Consulting

Consultants deliver one-time reports at $150K-$300K for 3 months, then leave.

U2xAI provides continuous engagement with institutional knowledge at $60K-$180K annually.

vs. Internal Analysts

Internal hire costs $300K-$500K annually (fully loaded) plus 6 months ramp time. Single-threaded risk if they leave.

U2xAI delivers team-based analytics at $60K-$300K annually, productive from Day 1 with guaranteed continuity.

Getting Started

Week 1-2: Discovery and data integration
Week 3-4: First analysis cycle and dashboard deployment
Week 5: Executive briefing with initial insights and recommendations
Ongoing: Regular analysis cycles with continuous improvement

The Bottom Line

You can't manage what you don't measure. You can't measure what you don't analyze.

Most mid-market companies have the data but lack the capacity to transform it into actionable intelligence.

U2xAI Supply Chain Data Analysis as a Service provides:

  • Continuous visibility into supply chain performance

  • Proactive identification of risks and opportunities

  • Root-cause analysis that drives real fixes

  • Executive-ready insights that enable confident decision-making

  • Flexible support for strategic planning and operational urgencies

We're your fractional analytics team—committed to making your supply chain smarter, faster, and more profitable.

Ready to Turn Your Data Into Decisions?

Contact U2xAI to discuss your supply chain analytics needs and how continuous insight can drive measurable impact for your organization.

Schedule a consultation to review your current analytics capabilities and identify high-impact opportunities.

Truck

Ready to transform your supply chain?

Join retailers &SMBs who stopped guessing and started making confident decisions on buying, forecasting, and inventory. See real results in 30 days

Ready to run your retail smarter?

Ready to remove guesswork ?

Ready to upgrade how you buy and stock?

Truck

Ready to transform your supply chain?

Join retailers &SMBs who stopped guessing and started making confident decisions on buying, forecasting, and inventory. See real results in 30 days

Ready to run your retail smarter?

Ready to remove guesswork ?

Ready to upgrade how you buy and stock?

Truck

Ready to transform your supply chain?

Join retailers &SMBs who stopped guessing and started making confident decisions on buying, forecasting, and inventory. See real results in 30 days

Ready to run your retail smarter?

Ready to remove guesswork ?

Ready to upgrade how you buy and stock?

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