Route and fleet optimisation
22%
Lower fuel costs recorded for a 3PL serving Changi Airfreight Centre.
How it works
Our route optimisation AI weighs traffic, vehicle capacity, driver hours, loading windows, and new jobs as conditions change.
Logistics AI consulting in Singapore
Your fleet, warehouse, and customers should move as one system.
Route plans age quickly. Pallet counts drift. Delivery promises become difficult to keep. Lorong AI builds practical AI for Singapore logistics teams that need lower operating cost and clearer decisions.
22%fuel cost reduction in a 3PL pilot
28%less cold-chain waste
80%less manual cycle-count time
Tuas Port
Distribution hub
Customer door
Built for the work on your floor
Five ways AI lifts logistics performance
Each system starts with an operational constraint, then connects to the data your team already uses. Small changes compound quickly.
Last-mile delivery
Minutes matter
Give dispatchers a clearer view of stop-level delays.
How it works
Last-mile delivery optimisation groups stops by real travel time and delivery constraints, helping drivers spend less time circling and waiting.
Shipment consolidation
More load
Find sensible combinations before trucks leave the yard.
How it works
The model compares destination, service level, cube, weight, and cut-off times so planners can consolidate without risking customer commitments.
Demand forecasting
28%
Less waste for a regional cold-chain exporter.
How it works
Demand forecasting logistics models blend order history, seasonality, promotions, and lead times to set safer stock levels by lane and product.
Warehouse computer vision
80%
Less manual cycle-count time in a Tuas warehouse pilot.
How it works
Warehouse computer vision checks pallet position, inventory movement, PPE compliance, and restricted zones using edge processing on your premises.
A measured operating change
How a 3PL halved late deliveries using dynamic route learning
The company had reliable historical data, yet planners still rebuilt routes by hand when traffic or urgent consignments changed. Late deliveries were hurting service reviews.
We connected vehicle GPS, job records, loading windows, traffic feeds, and the existing transport management system. The model learned from each completed route and gave dispatchers a revised plan when conditions shifted.
"The team could see why a route changed. That made adoption much easier on the floor."
Operations Director, Singapore 3PL
01. Diagnose
Two weeks of route, stop-time, and exception data exposed the cost of manual replanning.
02. Learn
A reinforcement learning model tested route choices against actual driver and customer outcomes.
03. Connect
Recommendations appeared inside the existing TMS through an API. Dispatchers kept control.
04. Measure
Late deliveries fell by 50%, while fuel cost dropped 22% across the pilot lanes.
Warehouse intelligence
Computer vision that counts every pallet while monitoring safety
A camera system can answer two expensive questions at once: where stock is, and whether people are working safely. The processing stays on-premise, so operational footage remains within your environment.
Start with one aisle. Prove the count accuracy. Then expand.
Plan a warehouse pilotWarehouse operations / Tuas
1,248pallet positions counted
98.6%inventory match rate
07safety alerts reviewed
Integration without disruption
Plugs into your existing TMS, ERP, and WMS
Your systems hold valuable context. We use API-first connections and staged testing, with working integrations measured in weeks rather than months.
SAP
Order, stock, and finance data mapped to clear operational decisions.
Oracle
Planning and fulfilment signals connected through controlled APIs.
Transport systems
GPS, job status, driver hours, and route outcomes in one model.
Local WMS
Inventory events and location records remain useful to your team.
Private data layer
Access controls and local processing protect sensitive information.
Start with the numbers
Let's find the $500K hidden in your logistics operations
In 30 minutes, we'll map one costly process, identify the data behind it, and outline a practical next step. You'll receive a callback within 24 hours.
Prefer to speak now? +65 8985 7318