Automate Logistics Data Management with Google Apps Script and Next.js
In the fast-paced world of logistics, managing orders, tracking stock levels, and generating insightful reports are critical for efficient operations. However, we observed that many logistics teams still rely on manual data entry and outdated processes, leading to inefficiencies and potential errors. To address this challenge, we decided to build an automated solution that empowers logistics teams to interact with Google Sheets through a Next.js front-end. This project aims to enhance data accuracy, reduce manual efforts, and provide valuable data for reporting purposes in Google Data Studio.
Tech Stack
- Next.js: To leverage serverless architecture, ensure fast page loading times, and facilitate seamless interactions between the front-end and the APIs.
- TypeScript: To add type safety, improve code maintainability, and enable better collaboration within the development team.
- Custom APIs: To build specific APIs tailored to the logistics data management requirements and enhance system integration capabilities.
- Supabase: As the database backend to store and manage logistics data securely and efficiently.
- Google Sheets & Apps Script: To store order and stock information, and to utilize Apps Script for automation tasks within the Google Sheets environment.
- Tailwind CSS: To create a modern and responsive user interface, ensuring a pleasant user experience for logistics teams.
Features
- Order Scanning: Logistics teams can easily scan and input order details into the system through the Next.js front-end, reducing manual data entry.
- Stock Management: The application automatically updates stock information in Google Sheets whenever an order is processed, maintaining clear stock data.
- Data Source for Reporting: The stored data in Google Sheets serves as a reliable data source for generating insightful reports in Google Data Studio, providing valuable analytics for informed decision-making.
Pricing
€12,500 (EUR)
Timeline
- Week 1: Project initiation, requirements gathering, and architecture planning.
- Week 2: Front-end development using Next.js with Tailwind CSS integration.
- Week 3: Custom API development and integration with Supabase for database management.
- Week 4: Google Sheets integration with Apps Script for automation and setting up the data pipeline.
- Week 5: Testing, bug fixing, and performance optimization.
- Week 6: Deployment to Vercel and final quality assurance.