Dyalog APL - Our Not So Secret Ingredient for Jewelry Industry Analytics
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Overview
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Explore how Buyers Intelligence Group (BIG) leverages Dyalog APL as their secret weapon for providing inventory analysis services to thousands of jewelry manufacturers and retailers in this conference presentation from DYNA Fall 2025. Discover BIG's comprehensive system architecture that integrates with diverse point-of-sale systems while using industry-standard front-end technologies like ASP.NET, MSSQL, JavaScript, and KendoUI, with Dyalog powering much of the sophisticated back-end processing. Learn about the company's significant impact on the jewelry industry through data-driven inventory optimization solutions and understand the technical challenges involved in collecting and processing data from multiple sources. Examine BIG's strategic approach to solving complex inventory problems using mathematics, artificial intelligence, and machine learning algorithms, all implemented through Dyalog's powerful array-oriented programming capabilities. Gain insights into how Dyalog enables rapid development of custom solutions tailored to individual client needs and hear about the company's ongoing exploration of AI integration to further enhance their analytical capabilities. Follow Mark Wolfson's journey as CTO since 2006, including his successful migration from legacy IBM APL2 systems to a modern Dyalog-based production environment, and understand how a team of 13 developers leverages Dyalog's tools and interfaces to maintain and expand their suite of products for jewelry retailers, manufacturers, and service providers.
Syllabus
Who is BIG?
BIG's impact on the jewellery industry
BIG's system architecture
Data collection challenges and strategy
BIG's goal: optimise jewellers' inventories
Solving jewellers' problems with mathematics, AI, and machine learning
Questions
BIG's front-end
Mark's experience with Dyalog
Taught by
Dyalog User Meetings