https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_pricing_estimator-bc88ac02-feee-4e99-b088-af8f33da2f90/image2_LTM216X216px.png

Pricing Estimator by LTM is an agentic AI solution that helps teams create project pricing estimates and resource plans using historical project data. It scans past engagements, identifies relevant matches, and generates context-aware estimates for new opportunities so teams can respond faster with stronger commercial confidence.

Built on Microsoft Azure, the solution brings together AI search, modular agents, and scenario-based planning to support project managers, solution architects, and finance teams. It reduces manual effort, improves estimation consistency, and helps teams test different staffing and pricing scenarios before decisions are locked in.

Business Challenge:

Creating project estimates often takes too much time and depends heavily on manual judgment.

Estimation approaches vary across teams and opportunities, leading to inconsistency.

Historical project knowledge is spread across disconnected files and repositories.

Teams struggle to find comparable engagements and assess resource needs.

Difficulty in understanding cost, margin, and pricing impact quickly.

Slower response cycles and reduced confidence in commercial decisions.

Solution Approach:

Historical project matching: Uses Azure AI Search to scan historical project metadata and identify similar engagements, grounding estimates in actual delivery patterns.

Estimation generation: Builds resource loading and pricing estimates using matched historical data.

Scenario simulation: Allows users to test staffing and delivery changes and view impact on cost, margin, and timelines.

Cost and profit analysis: Calculates effective cost, margin, and profitability for better commercial clarity.

Modular integration: Connects with enterprise data sources and can be extended to risk, compliance, and delivery planning.

Key Benefits:

Faster estimation cycles with reduced manual effort.

Improved accuracy through historical data-driven insights.

Stronger margin visibility for better decision-making.

Enhanced scenario planning capabilities.

Reduced repetitive work for project, solutioning, and finance teams.

Enterprise-ready deployment on Azure-native services.

Target Personas:

Project Managers

Solution Architects

Finance Teams

Pre-sales and Commercial Teams

Technology Foundation:

Azure AI Search: Enables discovery of similar historical projects and relevant insights.

Agentic AI components: Manage estimation workflows, scenario testing, and analysis.

Enterprise data connectors: Integrate historical project repositories.

Azure-native architecture: Ensures secure, scalable enterprise deployment.

Why Organizations Should Explore It:

Improve response speed for new opportunities.

Increase consistency in pricing and resource planning.

Evaluate multiple commercial scenarios before finalizing decisions.

Leverage historical project knowledge effectively instead of leaving it underutilized.

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https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_pricing_estimator-bc88ac02-feee-4e99-b088-af8f33da2f90/image5_ArchitectureFlowV2.png

https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_pricing_estimator-bc88ac02-feee-4e99-b088-af8f33da2f90/image0_KnowledgeManagementApproachV2.png

LTM Data And AI Pricing Estimator

LTIMindtree Limited

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