Wild Tech launches Dynamics 365 deal for AYS Hardware

In September 2026, Wild Tech launched a Microsoft Dynamics 365 program for Ann Yak Siong Hardware, replacing the Malaysian steel company's legacy on-premise ERP system with a cloud platform.

Ann Yak Siong Hardware, which is a subsidiary of AYS Ventures, is moving its finance and supply chain operations to Dynamics 365 Finance and Supply Chain Management as it seeks a single system across the business. The company operates across steel distribution, manufacturing, and related services in ASEAN and APAC. Its existing ERP system had been in place for years and was heavily customized, thus prompting a shift to a newer, advanced platform.

Phase one covers core finance functions including general ledger, accounts payable and receivable, cash and bank, fixed assets, budgeting, and Malaysia tax localization. It also includes procurement, inventory, sales, product information, costing and warehouse management. Meanwhile, Power BI reporting forms part of the initial deployment. The system is also being set up with a multi-entity structure to support expansion and acquisitions.

The work is also being delivered onsite by locally based consultants. Wild Tech is using what it describes as a configure-first approach to keep the system close to standard software and limit further customization. This delivery model is intended to reduce maintenance demands and avoid adding technical complexity as the business replaces a long-serving bespoke setup. The said program will run through scoping, design, build, key user training, data migration, user acceptance testing, and go-live support.

Microsoft's Dynamics 365 suite is widely used by companies looking to consolidate finance, operations and supply chain processes in the cloud. For manufacturers and distributors, such projects are often tied to efforts to improve visibility over stock, costs and entity-level performance across markets.

Impact on the ICT Market

The engagement begins with a requirements and solution study, designed to clarify Metro’s future-state finance needs and establish a practical pathway to implementation. Metro’s broader modernization program includes changes associated with financial and inventory practices, with the initial focus placed on ensuring finance foundations are fit-for -purpose before subsequent phases are considered.
Wild Tech’s current scope centers on defining requirements, mapping priority processes, confirming data and reporting needs, and identifying key integration touchpoints typically required in retail environments. This also includes establishing how finance will connect to upstream operational systems that influence inventory, costing, reconciliation, and management reporting. The work will also set out a staged roadmap intended to reduce delivery risk and avoid unnecessary disruption during transition.

Impact on the Software as a Service (SaaS) Market

The global software as a service (SaaS) market size was estimated at USD 408.21 billion in 2025 and is predicted to increase from USD 465.03 billion in 2026 to approximately USD 1,367.68 billion by 2035, expanding at a CAGR of 12.85% from 2026 to 2035.

According to Precedence Research, the increasing adoption of public cloud services in various enterprises is one of the significant factors that is expected to drive the software as a service (SaaS) market growth during the study period. Considering the high cost of on-premises software deployment, many enterprises are shifting towards the SaaS model. As businesses aim to decrease their IT costs and enhance scalability, the adoption of Customer relationship management (CRM) SaaS solutions continues to increase. Configuration and customization of CRM SaaS solutions are becoming more accessible and easier. This allows companies to personalize their CRM systems according to their particular requirements.

AI is also profoundly impacting the SaaS industry by enabling a fundamental shift from generic functionality to personalized, intelligent services. Machine learning algorithms are also being integrated into SaaS platforms to automate complex tasks, analyze vast datasets for actionable insights, and provide predictive analytics that anticipate user needs and market trends. This enhances the overall user experience and operational efficiency, thus allowing businesses to optimize decision-making with data-driven recommendations.