Phased RFID and AI-powered inventory intelligence for the client's warehouse, built around existing infrastructure.
The client's warehouse needed stronger visibility into inventory movement, loading-bay operations, manpower deployment, and cable stock usage. Aeologic designed a phased digitization roadmap combining RFID tracking, AI analytics on existing CP Plus cameras, WMS integration, and FIFO-based cable management.
In short
Aeologic designed a phased warehouse digitization solution for the client's warehouse, combining box-level RFID tracking, future item-level RFID integration, AI-powered analytics using the existing CP Plus camera network, and intelligent FIFO-based cable inventory recommendations.
- Client Corporate / Telecommunications Warehouse
- Problem Manual inventory checks with limited visibility into warehouse operations
- Solution RFID tracking, AI video analytics, WMS integration, and FIFO inventory intelligence
- Deployment On-premise warehouse deployment integrated with WMS and CCTV infrastructure
The client needed continuous warehouse visibility beyond periodic manual inventory checks.
The client's warehouse relied on manual processes to track inventory movement, monitor loading-bay activity, and manage cable stock, leaving limited real-time visibility into where goods stood or how efficiently operations were running. Inventory checks were periodic rather than continuous, truck turnaround time and manpower deployment during loading and unloading went unmeasured, and cable rolls with different lengths were issued without a systematic method for matching the right roll to an order. Aeologic was engaged to assess these gaps and design a practical, phased RFID and AI-based digitization roadmap.
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Inventory movement depended on manual tracking and periodic checks rather than continuous visibility
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Loading-bay turnaround time and manpower deployment were not measured automatically
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Cable rolls of varying lengths lacked systematic order-to-roll selection logic
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Warehouse digitization required a phased path without discarding existing WMS and CCTV assets
What the warehouse digitization roadmap had to achieve.
Establish RFID-based inventory traceability, phased from box-level tracking toward future item-level tracking integrated with the WMS.
Leverage the existing CP Plus camera infrastructure for AI-based monitoring rather than requiring new hardware.
Automatically measure truck loading and unloading turnaround time and count manpower involved in each operation.
Introduce FIFO-based intelligence to manage cable roll selection and recommend suitable stock against customer orders.
A phased warehouse intelligence layer connecting physical inventory, camera analytics, and stock decisions.
RFID inventory foundation
The rollout establishes a reliable digital identity for warehouse stock, beginning at box level and creating the foundation for subsequent item-level RFID adoption.
AI-powered operational intelligence
Existing CP Plus camera feeds become an operational data source, allowing warehouse activity to be analyzed without replacing the current surveillance infrastructure.
Inventory decision engine
Cable inventory is treated as individual usable stock, enabling order-aware recommendations based on available roll lengths and FIFO principles.
Phased RFID architecture
The implementation starts with box-level tagging to create early value and preserves a clear route toward item-level RFID and deeper WMS integration.
Existing-camera AI analytics
The analytics layer works with the existing CP Plus CCTV environment to derive loading-bay activity metrics without requiring a new camera network.
Automated loading-bay metrics
Truck cycles and manpower participation can be derived from camera-based observations, turning warehouse activity into measurable operational information.
FIFO-based cable intelligence
Cable rolls are individually tracked so the inventory engine can consider available lengths and recommend appropriate stock for customer orders while preserving remaining-length accuracy.
Three warehouse digitization challenges, addressed without overhauling what already worked.
Moving toward item-level RFID without delaying value
Full item-level RFID with WMS integration represented the target state but required a practical starting point.
Box-level first, item-level next
The roadmap starts with box-level visibility and establishes a structured migration path toward item-level tracking and deeper WMS connectivity.
Adding operational intelligence without new CCTV spend
A separate camera deployment was not justified solely for turnaround and manpower monitoring.
AI analytics on existing CP Plus feeds
The analytics layer uses the current camera infrastructure, extracting operational metrics from existing visual feeds instead of adding another hardware layer.
Turning cable length records into useful decisions
Recording cable length alone would still leave warehouse staff responsible for selecting suitable rolls for each customer order.
FIFO-based recommendation engine
The inventory engine evaluates individual rolls and recommends suitable stock according to FIFO logic, while updating the remaining usable length after every issue or cut.
"The strongest digitization path was not to replace everything at once. Starting with box-level RFID, existing cameras, and targeted cable intelligence creates measurable value while building toward deeper warehouse and WMS integration."
A practical path from manual warehouse checks to connected inventory intelligence.
Real-time, RFID-driven visibility into inventory movement across the warehouse.
Objective, camera-derived turnaround and manpower data without new CCTV hardware expenditure.
Better cable roll utilization through automated FIFO-based recommendations and reduced manual selection errors.
A phased roadmap that delivers early value while progressing toward item-level tracking and deeper WMS integration.
A phased warehouse roadmap that builds intelligence without unnecessary replacement.
The proposed RFID and AI-based digitization roadmap gives the client's warehouse a practical path from manual, disconnected tracking toward a connected inventory and operations environment. By combining phased RFID adoption, AI analytics on existing cameras, and intelligent FIFO-based cable management, Aeologic Technologies has laid out a solution that improves warehouse visibility incrementally while reusing existing infrastructure wherever possible.
Common questions about this deployment.
Find quick answers to the most common questions about RFID-based inventory tracking and AI-powered warehouse digitization.
How does RFID improve inventory tracking in the WMS?
RFID provides automated visibility into inventory movement by identifying tagged boxes and, as the roadmap progresses, individual items. The approach is designed to integrate with the existing WMS and replace periodic manual checks with more continuous movement visibility.
Can the solution use the client existing CCTV infrastructure?
Yes. The proposed warehouse digitization uses the existing CP Plus camera infrastructure and adds AI-based video analytics to the current feeds, avoiding the need for a separate CCTV hardware investment for loading-bay monitoring.
How does the system monitor truck loading and unloading?
AI video analytics analyzes the existing camera feeds to automatically measure truck loading and unloading turnaround time and count the manpower involved in each operation.
How does FIFO logic help manage cable rolls?
Cable rolls are tracked individually with their available lengths. FIFO-based logic evaluates the inventory and recommends suitable roll or rolls for a customer order, while each cut or issue updates the remaining length for future decisions.
Is the RFID implementation planned as a phased rollout?
Yes. The roadmap begins with box-level RFID tracking to deliver early inventory movement visibility and establishes a migration path toward item-level RFID tracking with deeper WMS integration.
Looking to digitize a warehouse without replacing everything?
Our architects can map a phased RFID and AI warehouse roadmap around your existing WMS, CCTV infrastructure, inventory processes, and operational priorities.
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