Siemens Innovation Proposal Sorting System

Problem

Siemens innovation team receives hundreds of internal and external project proposals monthly. Manual review is time-consuming, inconsistent, and creates bottlenecks in identifying high-potential innovations worth pursuing.

Solution

Designed AI classification model that automatically sorts proposals by quality, strategic alignment, and technical feasibility. System provides standardized evaluation framework enabling faster decision-making on which innovations to fund or develop.

My Role

Product Designer & AI Solution Architect

Tech Stack

• AI classification models
• NLP
• Workflow automation

Overview

Consulting project for Siemens designing an AI-powered system to streamline their innovation proposal evaluation process. The innovation wing receives proposals from both internal employees and external partners, requiring systematic evaluation against strategic priorities and technical feasibility criteria.

Solution Design

Classification Framework

• Quality scoring based on proposal completeness and clarity
• Strategic alignment assessment against Siemens innovation priorities
• Technical feasibility evaluation using domain-specific criteria
• Resource requirement estimation for implementation
• Risk assessment for regulatory and technical challenges

AI Model Architecture

• NLP processing for proposal text analysis
• Multi-criteria classification engine
• Scoring algorithm combining automated analysis with human oversight
• Priority ranking system for resource allocation
• Integration design with existing proposal management workflows

Key Features Designed

• Automated initial screening reducing manual review time
• Standardized evaluation criteria ensuring consistency
• Priority queuing for high-potential proposals
• Dashboard for innovation team tracking proposal pipeline
• Feedback mechanism improving model accuracy over time

Value Proposition

Reduced time from proposal submission to decision from weeks to days. Standardized evaluation framework ensuring consistent assessment criteria. Freed innovation team to focus on high-value activities like stakeholder engagement and strategic planning rather than administrative review.

My Contributions

• Designed classification criteria and scoring methodology
• Developed AI model architecture and workflow integration approach
• Created evaluation framework balancing automation with human judgment
• Proposed implementation strategy for Siemens environment