AI at SiciX: From Data to Action in the Smart Logistics Chain

In its comprehensive digital transformation journey, SiciX has entered a new phase — the era of operational AI in action.

No longer limited to process digitization, SiciX has proactively integrated artificial intelligence into its central operation hub to forecast, optimize, and make real-time decisions across every movement of the logistics chain.

ETA++ – Hyper-Accurate Delivery Time Prediction

At the heart of SiciX’s AI-powered operation lies ETA++, an advanced Estimated Time of Arrival (ETA) prediction model known for its exceptional accuracy.

Unlike conventional ETA calculations, ETA++ leverages machine learning (ML) and spatio-temporal deep learning (DL) models to predict travel times based on:

• Route, time of day, and day of the week
• Weather, road conditions, and major events (concerts, football matches, etc.)
• Vehicle type, driver experience, and stopping habits

When unexpected disruptions occur — such as traffic jams, heavy rain, or road construction — ETA++ automatically updates and sends notifications via Zalo OA or SMS to keep customers informed and prepared for delivery.

The system continuously learns from real-world data to fine-tune its model, ensuring ongoing improvement of performance metrics such as MAE, MAPE, and P90 error over time.

AI Route & Order Optimization – Reducing Empty Miles, Boosting Fleet Efficiency

While ETA++ enables SiciX to know “when the goods will arrive,” the AI-based Route & Order Optimization module helps answer “which route is the most efficient.”

SiciX’s proprietary multi-objective optimization algorithm can:

• Eliminate empty routes, reduce travel time, and minimize the number of vehicles required
• Group and assign orders intelligently based on location, delivery window, and vehicle capacity
• Maintain SLA commitments by managing time and load constraints

By integrating real-time ETA++ data, the SiciX dispatch system can automatically suggest optimized route combinations within 1–2 seconds, enabling faster and more precise operational responses.

In internal A/B testing, this AI module helped reduce operational costs by 12–18% and increased on-time delivery rates by 22% during peak seasons.

From Forecasting to Instant Decision-Making

What sets SiciX’s AI approach apart is its “real-time, real-context” philosophy — all models run directly on live streams of GPS, weather, order, and customer feedback data.

Changes such as “sudden rain,” “traffic congestion,” or “major public events” instantly trigger intelligent APIs to automatically:

• Adjust ETA for customers
• Suggest alternative routes to avoid hotspots
• Alert dispatchers of potential SLA delay risks

This operation model ensures that AI not only analyzes data but also acts immediately — aligning with the philosophy: “AI doesn’t just see; it acts.”

Towards an AI-Native Operations Ecosystem

Embedding AI into the operational core is more than a technical effort — at SiciX, it’s a long-term strategy to build a smart logistics ecosystem where data, people, and AI systems operate in perfect harmony.

Key enablers include:

• Standardized MLOps and data architecture aligned with global standards (Kafka, MLflow, FastAPI, Redis)
• Advanced monitoring systems ensuring stability and self-adjusting models
• Two-stage AI architecture, enabling rapid deployment and scalable deep learning as data volume grows

Looking ahead, SiciX aims to develop a comprehensive operational AI suite — covering demand forecasting, resource allocation, performance evaluation, and operational safety — moving toward a fully AI-driven Supply Chain model.

AI: The Foundation for a Sustainable Logistics Journey

From hyper-accurate ETA forecasting and intelligent route optimization to real-time contextual decision-making, AI is redefining how SiciX operates its supply chain.

It’s more than just technology — it’s a core capability that empowers the enterprise to maintain stability, save energy, and reduce emissions, advancing toward sustainable logistics — a new milestone in SiciX’s digital transformation journey.

Contact SiciX Technology experts to explore how AI can empower your logistics transformation