dsd-route-optimization

Optimize DSD delivery routes using VRPTW modeling and OR-Tools.

56|16|Updated Oct 18, 2025

Search Tags:#logistics #delivery planning #supply chain #route optimization #or-tools #dsd

Ready to run

npx skills add https://github.com/kishorkukreja/awesome-supply-chain --skill dsd-route-optimization

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dsd-route-optimization
Source: https://github.com/kishorkukreja/awesome-supply-chain/tree/main/skills/dsd-route-optimization
Command: npx skills add https://github.com/kishorkukreja/awesome-supply-chain --skill dsd-route-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ortools, numpy, pandas, scipy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the complex process of planning Direct Store Delivery (DSD) routes, ensuring efficient delivery schedules and minimizing operational costs for retail distribution.

Core Features & Use Cases

Route Optimization: Designs efficient delivery routes considering time windows, vehicle capacity, and service requirements.
Merchandising Integration: Accounts for the time drivers spend stocking shelves and performing other in-store tasks.
Use Case: A beverage distributor can use this Skill to plan daily delivery routes for hundreds of convenience stores, ensuring timely deliveries and optimal truck loading.

Quick Start

Use the dsd-route-optimization skill to optimize delivery routes for the provided store data and depot location.

Frequently Asked Questions about dsd-route-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I optimize Direct Store Delivery routes for retail distribution?▼

Optimize Direct Store Delivery (DSD) routes by applying a Vehicle Routing Problem with Time Windows (VRPTW) framework using OR-Tools. This ensures efficient delivery schedules and minimizes operational costs for retail distribution.

Can route optimization account for driver merchandising tasks and stocking time?▼

Route optimization accounts for driver merchandising tasks by integrating the time drivers spend stocking shelves and performing in-store service requirements directly into the mathematical modeling constraints.

How does VRPTW handle delivery time windows and vehicle capacities in supply chain logistics?▼

VRPTW handles delivery time windows and vehicle capacities by treating them as critical operational constraints within the mathematical model, ensuring feasible and deterministic route planning for supply chain logistics.

What's the best way to plan daily delivery routes for hundreds of convenience stores?▼

Plan daily delivery routes for hundreds of convenience stores by leveraging OR-Tools to process store data and depot locations, ensuring timely deliveries and optimal truck loading based on variable demand.

Does this route optimization approach support dynamic routing based on variable demand in CPG distribution?▼

This route optimization approach supports dynamic routing based on variable demand in CPG distribution by adjusting deterministic route planning to accommodate pre-sell models and fluctuating delivery requirements.

Do I need Python libraries like OR-Tools and NumPy to solve logistics delivery planning problems?▼

You need Python libraries like OR-Tools, NumPy, Pandas, and SciPy to solve logistics delivery planning problems, as they provide the necessary mathematical modeling and data processing capabilities for the VRPTW framework.