How to Build an AI Supply Chain App Like Locus: Key Features, Process & Development Cost

Introduction: Increased Adoption of AI Technology for Supply Chain Management

Each segment of the logistics sub-section of route and demand planning and real-time monitoring of shipments is feeling the high rate of development in technologies. The logistics enterprises of the sub-section are already feeling the operational capacity available with AI-coded automated systems. Gartner’s predictive analytics forecast is in action making predictions that over 75% of prominent organizations will implement AI-driven supply-chain solutions by the year 2026 as prices keep declining and operation delivery workflow processes get maximized. Organizations are being pushed increasingly to smart competitive solutions by auto-scaling algorithms, and AI-driven solutions such as Locus are taking the lead.

Key Features of an AI-based Supply Chain App

In order to be competitive with others such as Locus, your app must be filled with:

AI-Based Route Op

• timisation — Pre-calculated shortest-route and traffic-hungry delivery scheduling.

• Demand Forecasting — Forecast product demand from historical data and real-time feeds.

• Inventory Management — Automated check level and auto-replenishment reminder.

• Real-Time Tracking of Shipments — IoT and GPS enablement for accurate location updates.

• Order Management — Auto-processing of multi-level orders leading to shipment.

• Driver & Fleet Management — Manage job assignments, track performance, and control company assets in one piece.

• Analytics Dashboard — Real-time dynamic user-configurable performance, cost activity, and other operations reporting.

• Multi-Platform Access — Smooth integrated web, cloud, and mobile access for ease of use.

For a deeper dive into this topic, check out the full article here: Building Locus: Key Features & Costs