AI-Powered Pricing Platform
Designing AI pricing tools to transform enterprise shipping workflows
Overview
Amazon Shipping launched a strategic initiative to scale operations through intelligent pricing. I led product design to create a comprehensive vision for an AI-powered platform that consolidates multiple disconnected tools into a unified experience. Working independently across a complex organization, I uncovered root problems and designed practical AI solutions that addressed real business needs.
Vision & Impact
We delivered a comprehensive design vision targeting a 78% reduction in negotiation cycle time, 15,000+ hours saved annually across teams, and 60% auto-approval rate for qualifying proposals. The platform is designed to deliver significant revenue impact through improved conversion and margin realization.
78% REDUCTION IN CYCLE TIME
15,000+ HOURS SAVED ANNUALLY
60% AUTO-APPROVAL RATE
94% REDUCTION IN PREP TIME
Client
Amazon Shipping
Timing
6 months, 2025
Role
Lead Product Designer
NDA
Work shown under NDA with limited visuals. Full case study available in interviews.
Contribution
I led cross-organizational discovery across sales, pricing, operations, and senior leadership to map the complete enterprise customer onboarding workflow. Through stakeholder workshops, I identified pricing negotiation as the highest-impact opportunity and designed Proposal Manager 2.0 to transform this process through intelligent automation and unified workflows.
BUILT FOR SPEED AND FLEXIBILITY
Designed intelligent pricing workflows
We focused on delivering value to business development teams through intelligent recommendations, automated data prefilling, and real-time deal assessment - targeting a 94% reduction in proposal preparation time.
Proposal Manager 2.0: A unified platform for intelligent pricing
At the center of this vision is Proposal Manager 2.0 - a unified platform that transforms how teams create, communicate, and approve pricing proposals. The tool jumpstarts proposal creation with AI-powered recommendations and guides users through crafting compelling narratives for different audiences - from business development (cross-disciplinary collaboration) to senior leadership (approvals) to customers (translating pricing into negotiations narratives). It intelligently routes approvals based on deal complexity and risk. By addressing the reality that pricing managers aren't always skilled writers, senior leadership lacks context and business developers aren't always pricing analysts, the platform bridges these gaps with contextual guidance and AI assistance.
Understanding the complete workflow
I mapped a highly complex internal sales process that had eluded clear articulation. Through research with business development teams across multiple touchpoints and working sessions with SMEs, I created a clear picture of the end-to-end workflow - revealing that proposals required 3-6 hours to create across disconnected tools, with approval timelines stretching from 2-3 days to 3+ weeks.
This clarity revealed where AI could eliminate manual work - automating data entry, streamlining approvals, and surfacing recommendations at decision points. Early validation with sales teams confirmed the approach, with the platform design consolidating disconnected tools into a unified workflow that reduces proposal creation from 3-6 hours to under 20 minutes.
We explored diverse AI patterns - from intelligent form-filling to contextual recommendations - that solve specific workflow needs rather than adding another chat interface.
Phased introduction and progressive capability
The platform operates across three modes - from collaborative suggestions to automated execution - adapting to risk levels and user preferences while maintaining full visibility into pricing logic.
Creating shared language for AI collaboration
I introduced frameworks defining types of agency and levels of autonomy, facilitating clearer conversations about what AI should and shouldn't do in the pricing process.
