Leajlak provides a delivery management platform that connects e‑commerce merchants with third‑party logistics providers for on‑demand and scheduled deliveries. Its API‑driven system integrates with cloud POS and e‑commerce channels to offer real‑time order synchronization, zero‑commission pricing, live rider tracking, and AI‑powered route optimization, helping merchants reduce costs and improve customer satisfaction while giving 3PLs a unified interface to manage dispatch efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Merchants and third‑party logistics providers (3PLs) often struggle with fragmented delivery coordination, high commission fees, and limited visibility into order status, leading to increased operational costs and lower customer satisfaction.
Solution
Leajlak offers a delivery management system that links merchants directly with 3PL providers for both on‑demand and scheduled deliveries. The platform provides API‑driven integration with cloud POS and e‑commerce channels, enabling real‑time order synchronization and reducing manual errors. Merchants benefit from zero commission fees, live rider tracking, and tools to manage logistics partnerships, while 3PLs gain a unified interface to optimize dispatch and improve efficiency. By leveraging AI, IoT, and big‑data analytics, the system enhances route planning, predicts delivery performance, and supports data‑driven decision making across the delivery ecosystem.
Target Audience
Primary customers are e‑commerce merchants and retail brands seeking cost‑effective delivery solutions, as well as 3PL companies looking to expand their order volume through a centralized management platform.
Features
- API integration with any cloud POS or e‑commerce platform for real‑time order sync
- Real‑time tracking of driver location and order status visible to merchants and customers
- Rider management dashboard for assignment, monitoring, and performance analytics
- Logistics partnership module to onboard and coordinate multiple 3PL providers
- AI‑powered route optimization and demand forecasting using IoT and big‑data inputs
- Zero‑commission pricing model to maximize merchant margins