INDUSTRY / LOGISTICSOPERATING CONTEXT

AI for routing, prediction, and warehouse intelligence.

OSYSTIC builds optimisation and forecasting systems for logistics and supply chain teams — route optimisation, delivery time prediction, warehouse automation, and demand sensing.

Explore capabilities
LogisticsCONTEXT MODEL
ORIGINLOAD
HUBCAPACITY
ETAPREDICT
DELIVERYTRACE
TRAFFICWINDOWSCAPACITYDRIVER HOURS
ROUTESETACAPACITYEVENTS
CONSTRAINT MAP

What changes in logistics.

Logistics margins are thin and customer expectations for speed and visibility are rising. The operations teams that stay competitive are those that have turned their data into a real-time operational advantage.

01

Suboptimal routing decisions

Static routing rules cannot account for real-time traffic, weather, vehicle capacity, and time-window constraints simultaneously at scale.

ARCHITECTURE INPUT
02

Delivery time unpredictability

Customers expect accurate ETAs. Most logistics platforms offer only broad windows because they lack the predictive models to do better.

ARCHITECTURE INPUT
03

Warehouse inefficiency

Slotting, pick path planning, and labour scheduling in large warehouses are still heavily manual — leaving significant throughput gains on the table.

ARCHITECTURE INPUT
SYSTEM PATTERNS

Engineering around the workflow.

These are capability patterns, not guaranteed outcomes. Exact design depends on the client’s data, infrastructure, risk profile, and validation requirements.

01

Route optimisation

Constraint-aware routing models that account for traffic, capacity, time windows, and driver hours — reducing cost per delivery.

02

Delivery time prediction

ML models that estimate delivery windows using historical delivery data, real-time conditions, and carrier performance signals.

03

Warehouse automation

Slotting optimisation, pick path planning, and labour forecasting systems designed to support warehouse planning and throughput decisions.

04

Demand sensing

Short-horizon demand models that feed replenishment and transport planning with signals beyond historical averages.

05

Anomaly detection

Systems that flag shipment delays, carrier performance outliers, and inventory discrepancies in real time.

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Building for logistics?

Bring the real workflow, data boundary, infrastructure, and risk constraints. We will map the engineering path around them.

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