Supply Chain Digitalization & Visibility with AI

Ideal for

Operators buried in spreadsheets and fragmented data who can’t get a straight answer on cost or performance.

Teams spending hours reconciling ERP, WMS, and TMS data just to make basic decisions.

Built for executives who want visibility that pays for itself, not dashboards that fade after launch.

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ROI Metrics

Avg. client results:
⚙️ 4–8× ROI
📉 10–20% reduction in logistics cost-to-serve
⏱️ 30–60 hours saved per month through automation
📦 25–40% improvement in shipment and inventory visibility
💡 Real-time analytics deployed in under 90 days

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Visibility is not technology. It is control.

Most supply chains drown in fragmented systems and manual reporting.
TMS data shows rates, WMS data shows stock, ERP data shows orders—but none of them speak fluently to one another. The result is reaction-based decision-making and expensive blind spots.

Pendel’s Supply Chain Digitalization & Visibility with AI eliminates these blind spots by connecting every data source into a single operational picture that executives and operators can actually use.
We bridge your systems, normalize the data, and embed AI-driven analytics that highlight where performance is slipping before cost or service does.

Our approach turns disconnected tools into a unified visibility layer. The goal is not more dashboards; it is faster, more confident decisions that increase resilience and reduce cost volatility.

Common visibility challenges solved:

• Manual reporting and fragmented data across WMS, TMS, and ERP
• Poor shipment tracking and carrier performance insight
• Inconsistent landed cost and margin reporting
• Lack of proactive alerts for disruptions and dwell time
• Limited automation for exception management

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Methodology

1. Data Landscape Assessment
We map every system and data source connected to your logistics, procurement, and finance functions to pinpoint disconnects and latency points.

2. Integration Blueprint
Our team designs the data bridge that links your existing platforms without requiring a full system overhaul. We standardize formats and normalize key fields for reliability.

3. AI & Analytics Deployment
We implement predictive models and dashboards that deliver early warnings on cost, capacity, and service risks. Insights are layered to match executive, management, and operator levels.

4. Automation & Workflow Enablement
AI-driven workflows replace repetitive tracking and reporting tasks, freeing teams to focus on exceptions and decision-making.

5. Adoption & Continuous Improvement
We train teams on interpretation, not technology, ensuring adoption across operations. Post-launch, we refine models quarterly to expand automation and predictive accuracy.

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Typical Engagement Scope

Duration: 6–8 weeks
Format Options: Remote, Hybrid, On-site

Deliverables:

• System and data connectivity map
• Unified visibility dashboard with live KPI tracking
• AI-enabled analytics suite and workflow automations
• Training and adoption guide for operators and leadership

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