AI Product Strategy

Freight Spend Optimization

Developing AI driven products to save customers millions in freight spend.

Status

In Delivery

Timeline

12+ months

Role

Product Leadership

Team

Cross-functional

Overview

This initiative focused on building AI-assisted freight decisioning products that identify waste, improve routing decisions, and uncover savings opportunities across large shipping networks.

Problem

Customers managed freight spend through manual analysis and fragmented tooling, leading to missed savings and inconsistent procurement decisions.

Goal

Create intelligent, scalable product workflows that surface high-impact savings opportunities and make optimization actions easy to execute.

My Contribution

•Shaped product strategy and roadmap
•Aligned stakeholders across product, sales, and operations
•Defined AI use-cases and validation criteria
•Led rollout and adoption planning

Next Steps

•Expand optimization models to additional spend categories.
•Increase automation for recurring high-confidence actions.

Process

Opportunity Mapping

Analyzed customer spend patterns and identified highest-value optimization moments.

AI Product Design

Defined recommendation flows and confidence-based actioning models.

Pilot Delivery

Launched targeted pilots and iterated with customer feedback loops.

Key Features

Savings Opportunity Detection

Models identify overspend patterns and prioritize high-value actions.

Decision Support Workflows

Recommendations are paired with context, confidence, and expected impact.

Performance Tracking

Dashboards connect optimization actions to measurable savings outcomes.

Challenges & Solutions

Challenge

Data quality varied significantly across customer environments.

Solution

Designed resilient ingestion rules and confidence thresholds.

Outcome

Maintained recommendation quality while scaling across accounts.

Results

•Demonstrated multi-million-dollar savings potential across key customer segments.
•Improved stakeholder confidence in AI-assisted freight decisions.

Tech Stack

Frontend

Next.jsReact

Backend

Data pipelinesRecommendation services

Tooling

FigmaAnalytics dashboardsCustomer pilot frameworks