Executive Summary

By unifying technical, financial, and ESG decisioning in one platform, the CSP achieved ~28% TCO savings, ~50% faster planning cycles, ~10× inventory accuracy/efficiency, and ~18% CO₂ reduction—while strengthening procurement and reducing capital risk.

Customer

A leading Tier-1 communications service provider in Western Europe, serving roughly 50 million subscribers across a multi-vendor, multi-technology footprint.

Situation

Rapid deployment of 5G/FTTH/private networks, rising energy costs, and ESG pressures were expanding both technical and organizational complexity. Decision-making was fragmented across network, procurement, finance, and operations, and legacy inventories/lifecycle systems were incomplete and inconsistent—slowing rollouts and inflating cost.

Challenges

• Multi-vendor complexity and TCO pressure with projections that didn’t match real outcomes.

• Fragmented data and teams (engineering, finance, procurement, operations) causing rework and delays.

• Sustainability requirements to reduce energy use and CO₂ emissions.

• High capital risk amid accelerated 5G/FTTH/private network programs and market deadlines.

  
  

Customer Requirements

1. A cross-department platform to align network, finance, procurement, and operations on shared facts.

2. Reliable inventory and lifecycle visibility (logical + physical) that outperforms legacy tools.

3. Vendor-neutral validation of cost and performance for mid/long-term planning.

4. ESG-aware planning to forecast and reduce energy and CO₂ impacts.

   
   

What the CSP Implemented with TelcoBrain

• Digital Twin + unified ontology covering physical/logical network, vendor parameters, inventory, cost, and KPIs under CTO/CFO/COO oversight.

• Techno-economic scenario modeling to compare rollout strategies, vendor mixes, and timing.

• Role-aware AI assistants for engineering/planning, finance, procurement, and executives.

• Operational optimization to surface underused assets and validate vendor efficiency.

• Single-pane dashboards blending technical KPIs, financial metrics, vendor data, and ESG insights.

  
  

How Decisions Changed

Teams spoke the same data language and evaluated “what-if” scenarios in days instead of weeks. Inventory and lifecycle data became dependable enough for confident funding, vendor selection, and rollout timing—while ESG trade-offs were visible up front.

Results

• ~28% reduction in network TCO via optimized builds and resource alignment.

• ~50% reduction in multi-team planning cycle time (weeks → days).

• ~10× improvement in accuracy/efficiency over legacy inventory management.

• CO₂ emissions reduced by ~18% through smarter site planning, energy predictions, and decommissioning of inefficient assets.

• Stronger procurement leverage via independent, lifecycle-based vendor comparisons.

  
  

Operational and Financial Impact

• Speed and alignment: faster cross-team decisions with consistent data.

• Financial confidence: lifecycle-true costs replaced vendor assumptions; capital risk reduced.

• ESG integration: energy/CO₂ modeling embedded in every plan.

• Execution quality: fewer surprises during deployment thanks to reconciled inventory and vendor-neutral validations.

  
  

Capabilities Mapped to the Original Requirements

• Cross-department platform: single source of truth for network, finance, procurement, and operations.

• Inventory intelligence: logical + physical reconciliation with far higher accuracy than legacy tools.

• Scenario modeling: vendor mix, rollout timing, morphology, and sensitivity analysis.

• ESG modeling: energy and CO₂ forecasts tied to technical/financial trade-offs.

  
  

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