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.
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.
The client collaborated with Adamo Software to establish a central and independent CMS to optimize operations for both travel operators and their distribution partners.
The next-gen medical ecosystem that connects every aspect of modern healthcare — clinics, laboratories, imaging centers, and global pharmacies — into one unified digital experience.
How Adamo helped Lenskart bring an in-store eyewear experience online through AI-powered virtual try-on, refined product discovery, and flexible checkout.
How Adamo built the entire website and payment infrastructure for an Australian travel company serving the American mature travel market.
FAQs
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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
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.