The Australian retail sector is experiencing a significant shift as artificial intelligence (AI) begins to influence operations across the industry.
The Australian retail sector is experiencing a significant shift as artificial intelligence (AI) begins to influence operations across the industry. As customer expectations change and operational challenges continue, the integration of AI offers a valuable opportunity to future-proof businesses while addressing critical pain points like staffing, efficiency and consumer engagement.
The typical customer journey now begins online, as the rapid pace of digitalisation becomes a key focus for Australian retailers. According to McKinsey Australia, loyalty programs have a significant impact on customer behaviour, with 60 per cent of 1,400 consumers surveyed, reporting that simply being part of a loyalty program influenced their spending habits.
As a result, loyalty programs have emerged as a key priority for Australian retailers in 2025, playing a pivotal role in this digital transformation. AI enhances these programs by leveraging advanced data analytics to create personalised customer experiences. By predicting consumer behaviour and tailoring offers to individual preferences, retailers can strengthen brand loyalty and drive deeper engagement.
AI also enables retailers to take greater control of their data, reducing dependence on third-party platforms. This autonomy allows businesses to refine their e-commerce platforms, enhance customer relationship management (CRM) systems and create seamless online shopping experiences. The popularity of click-and-collect services underscores the importance of this integration. Consumers appreciate the time-saving benefits of online shopping combined with the convenience of in-store pickups, an experience that AI can optimise further by streamlining inventory management and pickup processes.
As online sales grow, warehouses are becoming the backbone of retail operations. AI-driven solutions can positively impact supply chain management and distribution centres, improving efficiency and reducing costs. Predictive analytics enables better demand forecasting, ensuring stock levels align with consumer needs, using data collected by the customer online shopping journey. Automated systems powered by AI can enhance order fulfillment accuracy and speed, directly impacting customer satisfaction.
Additionally, AI can address staffing challenges in warehouses by automating repetitive tasks and optimising workflows. This not only increases productivity but also allows human employees to focus on higher-value activities, fostering a better-trained and more engaged workforce.
AI can elevate in-store experiences by integrating smart systems that personalise interactions. AI-driven insights from online shopping behaviour can inform product placement and promotions within stores. Virtual fitting rooms, powered by augmented reality (AR), offer customers the convenience of trying on items digitally, enhancing satisfaction and reducing return rates.
Retailers can also use AI to optimise staffing and inventory within physical stores. Predictive analytics can determine peak shopping times, enabling better staff scheduling and inventory management. These advancements address operational inefficiencies while improving the overall customer experience.
Despite its potential, AI adoption in Australian retail faces some apprehension due to skills shortages, significant upfront investment and concerns over data security. These challenges are surmountable with a strategic approach and retailers prioritising targeted investment that aligns with their customer base preferences and operational goals while the integration of progressive AI assets presents a compelling opportunity to future-proof retail assets for investors.
Investment in AI-driven systems qualify for tax depreciation benefits under Australian tax law, providing a financial incentive to modernise operations. Upgrading warehouses with AI-powered automation systems like robotics and machinery, as well as implementing data analytics platforms and enhancing in-store technologies like smart shelves, virtual fitting rooms, and AI-driven inventory management systems can all be depreciated over time, reducing the overall cost of implementation.
These deductions provide a significant financial incentive for retailers and landlords to modernise their assets while improving operational efficiency and customer satisfaction.
For more information regarding the potential depreciation deductions available on AI-driven upgrades, contact BMT Tax Depreciation on 1300 728 726 or request a quote.
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