I'm not technical. Can I work with iDev?

Absolutely. Most of our clients are non-technical. Just tell us what you want the end result to look like — we handle all the technical details.

How much does it cost to hire iDev?

We quote individually based on project scope and complexity. Initial consultation is completely free — we give you a clear quote after understanding your needs. No fit, no charge.

How big is the iDev team?

A few core members, each capable of delivering full-stack independently. We flexibly assign people based on project scale and can run multiple projects simultaneously.

What happens after project delivery?

We provide complete code and documentation at handover. For ongoing feature development or maintenance, we offer monthly or per-project arrangements. Most clients choose long-term collaboration.

What if I'm not satisfied with the project midway?

We confirm with you at every stage before moving forward. If the direction is off, we adjust immediately. If it truly can't continue, completed work is settled normally and all code is yours.

我完全不懂技术，能合作吗？

当然可以。我们的大部分客户都不是技术背景。你只需要告诉我们你想要什么效果，技术实现的事情完全由我们来处理。

费用大概是多少？

根据项目复杂度和功能范围单独报价。初次沟通完全免费，我们会在了解需求后给出明确报价，合适再开始，不合适不收费。

团队有几个人？

核心团队几个人，都是能独立交付的全栈开发者。根据项目规模灵活安排人手，可以同时推进多个项目，不用等排期。

项目做完以后怎么维护？

交付时会提供完整的代码和文档。后续如果需要功能迭代或维护，可以按月或按次合作。大部分客户选择了长期合作。

做到一半不满意怎么办？

每个阶段交付前都会和你确认。如果方向不对，我们及时调整。如果实在无法继续，已完成的部分正常结算，代码归你。

iDev 完成首个 AI Agent 项目交付，助力物流企业智能调度

iDev Delivers First AI Agent Project for Smart Logistics Scheduling

| iDev Team | 2026-08-17T08:53:00

iDev 团队成功为一家马来西亚物流公司交付了基于 AI Agent 的智能调度系统，将车辆调度效率提升了 40%，标志着团队在 AI 应用领域的重要里程碑。

iDev successfully delivered an AI Agent-based smart scheduling system for a Malaysian logistics company, improving vehicle dispatch efficiency by 40% — a key milestone in our AI application capabilities.

项目背景随着电商在东南亚的快速增长，物流配送的效率成为企业核心竞争力。我们的客户——一家在吉隆坡运营超过 200 辆配送车的物流公司，长期面临人工调度效率低、路线规划不合理的问题。解决方案 iDev 团队基于 Claude API 构建了一套 AI Agent 智能调度系统，核心功能包括：智能路线规划：根据实时路况、包裹体积和时效要求，自动生成最优配送路线动态任务分配：AI Agent 实时监控各车辆状态，动态调整任务分配异常预警：当出现延迟风险时，自动触发预警并给出调整建议自然语言交互：调度员可以用自然语言与系统对话，查询和调整调度计划技术架构系统采用 Spring Boot 微服务架构，前端使用 Vue 3，AI 推理层接入 Claude API。数据层使用 PostgreSQL + Redis，消息队列采用 RabbitMQ 实现任务的异步分发。项目成果上线两个月以来，客户的配送效率提升了 40%，燃油成本降低了 15%，调度员工作量减少了 60%。这是 iDev 在 AI Agent 领域的首个商业交付项目，也验证了我们"AI + 行业场景"的产品策略。

Project Background With the rapid growth of e-commerce in Southeast Asia, logistics delivery efficiency has become a core competitive advantage. Our client — a logistics company operating over 200 delivery vehicles in Kuala Lumpur — had long struggled with inefficient manual dispatching and suboptimal route planning. Solution The iDev team built an AI Agent-based smart scheduling system powered by the Claude API, with key features including: Smart Route Planning: Automatically generates optimal delivery routes based on real-time traffic, package dimensions, and delivery deadlines Dynamic Task Allocation: The AI Agent monitors vehicle status in real-time and dynamically adjusts task assignments Exception Alerts: Automatically triggers alerts and provides adjustment suggestions when delay risks are detected Natural Language Interface: Dispatchers can interact with the system using natural language to query and adjust schedules Technical Architecture The system uses a Spring Boot microservices architecture with a Vue 3 frontend and Claude API for the AI inference layer. The data layer runs on PostgreSQL + Redis, with RabbitMQ for asynchronous task distribution. Results Within two months of launch, delivery efficiency improved by 40%, fuel costs decreased by 15%, and dispatcher workload was reduced by 60%. This is iDev's first commercial AI Agent project delivery, validating our "AI + Industry Scenarios" product strategy.

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