USD 26.11B -> 35.37B
Singapore freight and logistics market growing from 2026 to 2031 at 6.26% CAGR - driven by e-commerce, automation, and green freight.
Source: Mordor Intelligence (2025)
Custom ERP, inventory and distribution platforms, integration work, and AI capability - built for distributors, 3PLs, e-commerce logistics teams, and manufacturers operating in and through Singapore.
Singapore's logistics sector handles 39M+ TEUs annually and is in the middle of a multi-year digital transformation, backed by infrastructure investment, government programs, and operator demand.
USD 26.11B -> 35.37B
Singapore freight and logistics market growing from 2026 to 2031 at 6.26% CAGR - driven by e-commerce, automation, and green freight.
Source: Mordor Intelligence (2025)
41.12M TEU
Container throughput at Singapore in 2024. Tuas Mega Port is now adding automated capacity for up to 65M TEU ultimate.
Source: Enterprise Singapore / IMDA
PSG up to 50%
Enterprise Singapore's Productivity Solutions Grant co-funds logistics tech adoption for eligible SMEs under the Logistics Industry Digital Plan.
Source: Enterprise Singapore / IMDA
These are operators running multi-client or multi-product warehouses and distribution networks. They need coordinated inventory, order processing, and finance integration across locations. This is the buyer segment closest to our delivery experience. Our auto parts distribution ERP directly addressed multi-warehouse coordination at scale.
01..
AI-powered routing that factors in real-time traffic, delivery windows, vehicle capacity, driver hours, and fuel costs. Goes beyond static route planning by recalculating as conditions change during the day. Realistic outcome in well-scoped projects: 10-20% reduction in fuel and travel time, with measurable improvements in on-time delivery rates.
02..
Machine learning models that predict inventory needs using historical sales, seasonality, promotions, and external signals. Ideal for e-commerce logistics and multi-warehouse 3PL operations, helping reduce stockouts and overstocking by 15–25%.
03..
Computer vision for inbound inspection, damage detection, and label reading. AI-driven slotting that places inventory based on velocity and order pattern data. Integration with warehouse robotics (AGVs, AMRs) where automation is in place. We do not sell the robots, we build the software layer that orchestrates them with your WMS.
04..
AI extraction from shipping documents, customs forms, invoices, and certificates of origin - feeding structured data into WMS, TMS, and customs platforms. Reduces manual data entry in freight and customs workflows by 50–70%, with audit trails for compliance review.
Both, depending on what makes sense for the operation. Building from scratch is the right call when off-the-shelf options have become operational constraints - typically at higher volumes, in multi-tenant 3PL setups, or with unusual workflow requirements. Working on top of an existing WMS or TMS (Manhattan, Blue Yonder, SAP EWM, Descartes, or smaller vendors) is faster and lower-risk when the core system works but needs orchestration, custom interfaces, or integration. We will recommend the path that matches your situation, not the one that gives us more revenue.
Adamo holds ISO 27001 (information security management) and ISO 9001:2015 (quality management). These are real certifications, verifiable through our certifying bodies. Our engineering practices include mandatory code review, dependency scanning in continuous integration, secrets management, encrypted communications, audit logging, and coordination with third-party penetration testing firms on production launches where scope requires it. We can share our security documentation under NDA during evaluation.
Integration is almost always the right answer when your ERP and TMS are working. Our integration work covers ERP systems including SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics 365, Odoo, and SAP Business One. For TMS and execution systems, we have experience working alongside major vendor platforms and smaller regional providers. The first technical discussion will identify exactly what integrations are in scope and what risks exist on each one.
Logistics operations often run 24/7, meaning system downtime translates directly to lost revenue. We do not just hand over the code and walk away. Following the production launch, we typically transition into an SLA-backed support model with a dedicated team to handle system monitoring, immediate bug fixes, and continuous feature scaling. During the critical "parallel-run" and immediate post-go-live phases, our engineers remain on high alert to resolve any edge cases that only surface under real-world warehouse volumes.
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