The race is on for FTTP operators to complete their network deployments, whilst juggling the challenges of build contractor shortages, network overbuild, rising cost bases and most recently consolidation, as market dynamics and insufficient scale proves unsustainable for some players.
Challenges arise as network deployments are often plagued with quality issues, leading to roll-out delays, additional costs and customer dissatisfaction. Delays in roll-out, particularly in areas of overbuild, also creates a missed opportunity to capture demand.
Once the network is deemed ready for service (RFS), there is also an ever-increasing focus on delivering the best possible installation journey, not just to differentiate, but to better manage the cost base, accelerate time to revenue and ensure great Net Promoter Score (NPS) feedback when engaging with customers.
Right First Time (RFT) operations have become the key metric of choice in helping operators address these challenges. It measures whether tasks are correctly completed to the required standard in the initial attempt, without the need for rework.RFT is a crucial metric for operators.
Whether at the stage of completing the network build prior to becoming Ready for Service (RFS), when installing a new customer or resolving network faults, RFT reduces revisits, operational costs and time spent on each task. Achieving RFT also paves the way for an improved customer experience, with less disruption during the build phase and higher NPS feedback when the install or repair is completed in a single engineer visit.
In the highly competitive landscape of FTTP, computer vision solutions help operators significantly increase RFT rates through the immediate detection of anomalies and poor-quality operations, enabled by the automated analysis of visual data captured and uploaded by engineers or auditors in the field. The technology can be used to ensure quality compliance across end-to-end full fibre networks from the fibre exchange to the premise, covering both active and passive network equipment.
Potential use cases include verifying compliance against pre-defined quality standards through to detecting network anomalies or issues across an end-to-end full-fibre network, from equipment in the fibre exchange to cabinets and chambers housing primary and secondary nodes, to splice boxes and optical sockets at the customer premise.
Some specific use case examples outlined below.
Inveniam’s AI-powered managed solution integrates computer vision and machine learning capabilities to enhance field service operations, transforming raw data into real -time actionable insights. With every stage of the computer vision life cycle covered, we make it easy for FTTP providers to deploy transformative computer vision solutions, without having to invest in their own dedicated AI resources.
We provide both pre-built, packaged and custom use cases, specific to each customer requirements. Some examples of pre-trained cabinet detections are outlined below.
To support RFT transformation, Inveniam’s managed solution offers:
Let’s have a chat to explore the possibilities.
