According to Zebra’s 2024 Manufacturing Vision Study, 68% of APAC manufacturers expect artificial intelligence (AI) to drive growth by 2029, up from 46% in 2024, indicating a significant surge in AI adoption.

The increase in AI use, with 87% of APAC manufacturers focusing on digital transformation, shows how important AI is for managing data and improving visibility in manufacturing.

However, thinking that all AI technologies can solve these problems equally can lead to disappointment, wasted resources, and misguided efforts. According to the same study, about 30% to 40% of global and APAC respondents also face challenges like high labour costs, scaling technology, and integrating IT with operational technology.

To avoid these issues, it is important to remember that not all generative AIs are the same. Each type of AI is made for specific tasks and situations, so its effectiveness depends on each company’s particular needs and goals.

By carefully dissecting what you need from the AI and how it can help achieve your goals, you will be better positioned to select a solution that truly supports and advances your business. Here are four key questions to ask when choosing a generative AI solution to ensure it aligns with your business objectives and delivers optimal results.

What are you using generative AI for?

Defining your objectives and use cases is crucial before choosing a generative AI solution. Start by identifying the specific challenges you want to address, and what parts of the retail experience the organisation could benefit from automation.

For example, if you aim to improve demand forecasting, look for AI that excels in analysing sales data and predicting trends. If enhancing product recommendations is the goal, choose AI that understands customer preferences and browsing behaviour. For personalised customer experiences, select AI that can respond to individual behaviours in real time.

Finally, consider how the AI will fit into your retail operations. Assess your business needs carefully to find the AI solution that best supports your goals.

Can you use it for already existing systems?

When selecting a generative AI solution, it is essential to ensure compatibility with your existing technology and processes. Evaluating how the AI will integrate with your current systems—such as CRM, ERP, or inventory management—is crucial, as integration challenges can lead to increased costs and operational disruptions.

Additionally, consider whether the AI can work with your existing data formats and sources, as compatibility is vital for smooth functionality. By focusing on these aspects, you can choose an AI solution that seamlessly fits into your current setup, ensuring a more efficient and less disruptive transition.

Is it worth the capital investment?

When choosing a generative AI solution, evaluating the cost and potential return on investment (ROI) is crucial. While the initial investment may be significant, it’s essential to weigh this against the long-term benefits and overall cost-effectiveness.

Start by assessing the upfront costs, including licensing fees, implementation expenses, and any necessary upgrades to hardware or infrastructure. Moreover, consider ongoing costs such as maintenance, updates, and support, which may include recurring fees or expenses for scaling.

To gauge ROI, estimate the potential benefits the AI solution could provide, such as increased efficiency, higher sales, reduced operational costs, or improved customer satisfaction. Quantifying these benefits will help justify the investment and determine if the AI solution will offer a positive return over time. Consider not just cost in terms of monetary resources, but also human capital and time.

Do you plan on expanding?

Integration and scalability are essential when selecting a generative AI solution if a company has a business objective for growth. As your operations expand, your AI needs will likely evolve, making it crucial to choose a solution that can effectively scale along with the business’s needs. Opting for tools that offer flexibility in features and capabilities, allowing a business to adapt the solution to changing needs and incorporate new functionalities as required.

Choosing the right generative AI solution is crucial for enhancing efficiency in retail and manufacturing. Start by defining your objectives and specific needs to find an AI that tackles your challenges effectively. Ensure the AI integrates well with your current systems to avoid disruptions. Consider both initial and ongoing costs and evaluate the potential return on investment in terms of efficiency gains and cost savings. Lastly, choose an AI that can scale with your business growth.

By focusing on these factors, you can select an AI solution that improves operational efficiency and supports your business goals.

Nathahn Walter is regional sales manager for ANZ at Zebra Technologies.