Executive Summary

A British multinational beverage company faced increasing demands around site safety and security across its distribution network. With frequent delivery trucks entering, maneuvering, and exiting high-traffic loading yards, leadership was particularly focused on improving visibility in areas where backing movements and blind spots created elevated safety risks.

At the same time, the organization’s incumbent CCTV contract was approaching renewal. Before committing to another long-term agreement, leadership wanted to understand what modern, cloud-based surveillance and AI-powered safety platforms were now available in the market.

With limited internal bandwidth to run a formal RFP process, the company engaged Worrell to evaluate leading solutions, compare capabilities, and provide a vendor-neutral recommendation.

Key Objectives

• Evaluate modern cloud-based CCTV and AI video analytics platforms as alternatives to the incumbent system

• Improve visibility and safety across high-traffic yard operations, particularly around vehicle reversing and docking activities

• Enhance site security through improved nighttime monitoring and intelligent alerting capabilities

• Enable centralized, remote monitoring across multiple distribution and logistics facilities

• Reduce internal burden by leveraging an external, vendor-neutral advisory process instead of a full RFP

• Identify a scalable solution capable of supporting future global expansion and additional sites

The Challenge

• Incumbent CCTV contract nearing renewal with uncertainty around renewal vs. replacement

• Limited visibility into modern cloud-based CCTV and AI video analytics platforms

• High-risk vehicle activity in loading yards, particularly truck backing and maneuvering

• Need for improved nighttime monitoring and after-hours site security

• Lack of internal resources to conduct a structured RFP or vendor evaluation process

Requirements Identified

Following assessment sessions with operations and compliance leadership, the following requirements were established.

Platform Requirements

• Cloud-based CCTV platform with centralized, multi-site management

• Remote monitoring capabilities for distributed operations teams

• AI-powered analytics for hazard detection and accident prevention in yard operations

• Enhanced visibility for vehicle movement, particularly reversing and docking activity

• Smart alerts and motion detection for nighttime and off-hours security

• Scalable architecture to support global expansion

• Seamless migration from incumbent system with minimal operational disruption

Worrell’s Approach

• Conducted discovery sessions with security, operations, and site leadership teams

• Defined technical and operational requirements across multiple facilities

• Evaluated leading cloud-based CCTV and AI video surveillance providers

• Developed a shortlist of five vendor solutions based on functional fit and scalability

• Coordinated vendor demonstrations, technical Q&A, and pricing reviews

• Delivered a clear, vendor-neutral comparison framework to support decision-making

Outcome

Value Delivered by Worrell

Through Worrell’s advisory process, the organization achieved:

• Clear visibility into modern cloud-based CCTV and AI analytics platforms beyond their incumbent provider

• Improved yard safety through enhanced monitoring of vehicle movement and backing operations

• Strengthened after-hours security using intelligent motion detection and real-time alerts

• Identification of scalable, cloud-first solutions suitable for multi-site global deployment

• Confidence to make an informed renewal vs. replacement decision based on market insight