Using AI in the Address Data Industry

AI is transforming how organisations validate, enrich, and act on address data and is quickly becoming a vital part of every organisation’s roadmap. For sectors that interact with large volumes of customers such as financial services, the public sector, and healthcare—AI is not just a trend, but a necessity. It enhances decision-making and improves both public and consumer-facing operations by enabling faster and more accurate actions.

At Hopewiser, we’ve worked with big data for decades. That experience has pushed us to deeply explore how AI fits into our world.

Background

Hopewiser has spent over 40 years developing industry-leading address matching technology, underpinned by robust rules-based parsing, standardisation, and natural language processing techniques. This legacy has resulted in highly accurate, reliable, and explainable systems, trusted by clients across diverse sectors such as Financial Services and Sports.
Companies using AI-powered address correction tools have seen up to 65% reduction in failed form submissions and abandoned checkouts along with 73% reduction in failed deliveries

Emerging Role of AI

Recent advancements in artificial intelligence (AI) have raised interest in its potential application within address matching, particularly in areas involving:
• Parsing unstructured or noisy data sources
• Pattern recognition in large, messy datasets
• Enhancing predictive suggestions or autocomplete functions
• Optical Character Recognition (OCR) post-processing and inference

While AI undoubtedly holds promise in these areas, it is important to view it as a complement to our proven methods. AI may lend itself well to augmenting certain processes, especially where data is inconsistent or incomplete. However, accuracy, transparency, and trust remain paramount – and AI solutions must be evaluated rigorously against these standards.

Our Current Capabilities

Hopewiser’s technology already addresses many challenges commonly associated with AI-driven innovations:

Parsing & Standardisation: Our algorithms accurately deconstruct and standardise user-entered addresses into validated, consistent formats — a process refined over decades.
Predictive Modelling: Our solutions anticipate and complete addresses as users type, drawing on regularly updated datasets.
OCR Integration: Through a partnership with NPI, we process real-time address data from package labels using OCR and match it to known addresses with high accuracy.

In addition, our AutoComplete solution already uses AI Machine Learning. It predicts results not just based on what a user types, but also on daily-updated data sources—showcasing how AI can improve user experience in real time. Read about how one company used AutoComplete to reduce costs and maintenance.

Conclusion

AI offers huge benefits and should be seen as a powerful tool, not a flawless solution. Responsible use includes, understanding its capabilities and limitations, applying safeguards and maintaining human oversight—especially in high-stakes situations.

With this in mind, we welcome AI as a tool that is already helping us further enhance our systems. Our priority remains the same as the last 40 years; delivering accurate, reliable and trusted solutions to our customers.

We have the knowledge and expertise in-house and we’re excited about what’s next. Our experienced developers are working closely with Jonas Software, and we now have a dedicated AI team driving innovation into our product roadmap.