Warranty management has long been treated as a back-office function, but for many UK retailers, manufacturers, and insurers, it is becoming an increasingly expensive problem.
According to APQC, manufacturers lose between 1.5% and 2.5% of annual revenue to warranty-related costs every year. For a UK manufacturer generating £50 million annually, that can represent around £1 million in warranty expenditure alone.
Retailers are also facing growing pressure from rising return volumes and inconsistent compliance processes, while insurers continue to lose an estimated 10% to 15% of claims spend through leakage annually, according to Warranty Week.
Despite the scale of the issue, many organisations still rely on legacy systems built to process transactions rather than analyse the data flowing through them.
The problem with legacy systems
Large businesses often already have warranty modules inside SAP or Oracle ERP, claims platforms or manual returns processes in place. The problem is that most of these systems simply record information without using it to identify wider patterns, operational risks, or financial inefficiencies.
The average UK repair claim processed under warranty now costs £591, according to RAC Warranty, while repair cost inflation increased by 15% year-on-year in 2024. Manual processing under traditional warranty systems can also cost between £35 and £80 per claim.
Behind those figures sits a large volume of unused operational data. Failure patterns, product batches, contractor histories, and geographic trends are often stored but rarely analysed in a meaningful way.
What AI-native warranty management changes
That is one reason businesses are increasingly looking at AI-native warranty management systems.
Rather than relying solely on rules-based processing, AI-driven systems are designed to identify patterns across claims data, product information, and customer behaviour in real time.
For retailers, this can help reduce unnecessary settlements by validating returns against warranty terms, internal policies, and consumer regulations simultaneously. For manufacturers, it allows recurring product issues and batch failures to be identified earlier, while insurers can more effectively detect suspicious claims behaviour and fraud patterns.
Research from McKinsey & Company suggests advanced warranty analytics could reduce warranty costs for equipment manufacturers by around 15%.
Sustainability and regulatory pressures
The technology is also becoming relevant from a sustainability perspective. Product registrations, repairs, and returns can generate lifecycle data linked to Scope 3 emissions reporting, an area becoming increasingly important for large organisations facing ESG reporting requirements.
Industry analysis from Copperberg suggests traditional rules-based systems enhanced with bolt-on AI typically automate only 40% to 60% of claims processes, leaving many complex cases dependent on manual review.
A single platform across three sectors
iWarranty is an AI-native warranty management platform built to serve retailers, manufacturers, and insurers from a single architecture. It connects to existing ERP, CRM, and claims infrastructure rather than replacing it, which means organisations can be processing claims through AI-native intelligence within weeks rather than after a multi-year transformation project. The platform is recognised by the FCA Green Fintech Challenge, backed by Google AI First and Barclays Female Innovators Lab, and operates across the United States, United Kingdom, Australia, Germany, and the MENA-T region.
The warranty problem it addresses is not a niche operational challenge. It is a structural inefficiency embedded in the operations of almost every significant business in the British economy. The data required to solve it is already being generated. The question is whether the infrastructure exists to use it.
About iWarranty
Dr Ruby Pillai is the Co-Founder and CEO of iWarranty, the AI-native warranty management platform for retailers, manufacturers, and insurers. iWarranty operates across the United States, United Kingdom, Australia, Germany, and the MENA-T region. AI-native warranty management platform
Leave a Comment