DashOps - Automating Last-Mile Delivery

DashOps - Automating Last-Mile Delivery

Internal tool and customer app integration enabling self-driving robot deliveries under 2 miles, built to reduce costs and increase delivery reliability at DoorDash

2024 - 2024
SAAS

Project Overview

DashOps is a product-led initiative to automate short-distance food delivery using self-driving robots. Developed for DoorDash's internal operations team, it addresses delivery inefficiencies through a centralized robot fleet management system and updated customer-facing app experience. The solution optimizes last-mile logistics, reduces operational costs, and improves reliability, speed, and customer satisfaction in urban deliveries. My role focused on end-to-end product ownership, user flows, risk mitigation, and go-to-market readiness for Udacity Certification.

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Key Contributions & Details

  • Spearheaded product definition and delivery for DashOps, DoorDash's internal robot delivery tool.
  • Built robot incident management, live tracking, and health monitoring features for operations team.
  • Redesigned customer app for real-time robot tracking, opt-in UX, and delivery status updates.
  • Defined KPIs, user feedback loops, and test plans including A/B testing and malfunction simulations.
  • Authored full PRD, test plans, and pre/post-launch documentation across customer, ops, and restaurant tools including field testing feedback, dogfood surveys, and test plans for addressing post-launch issues.
  • Performed Market research to identify core competitors, generate a USP and define customer acquisition strategy finally submitting a marketing guide.
  • Defined target markets and established business, product, quality, and development KPIs to measure project success.

Key Metrics

Reduced cost and improved ETA accuracy
Operationalized scalable robot delivery flows

Awards & Recognition

Udacity Certification Project

Technologies & Tags

Software
Product Management
Robotics
Logistics
SaaS
Operations Automation