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Balancing Cost Efficiency and AI Automation in Retail

Cost Efficiency and AI Automation in Retail
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Jun 27 2024

The retail industry, across the globe, is in the midst of a dynamic shift. Consumers’ preferences are constantly evolving, competition is fierce, and the economic landscape remains uncertain. In this ever-changing environment, retailers are grappling with a delicate balance between cost efficiency and AI automation in retail.

This challenge was a key theme at NRF APAC 2024, where Orquest, the leading provider of store employee scheduling solution, connected with industry leaders to discuss the future of retail. Conversations at the Orquest booth thrived with a shared focus on optimizing operations, boosting employee satisfaction, and navigating the complex landscape of regulations, cost efficiency and AI automation in retail. Attendees grappled with the question of “What is the biggest challenge facing retailers today?” and two themes consistently emerged: the relentless pursuit of cost efficiency and the strategic implementation of AI-driven automation.

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Cost efficiency and AI automation in retail, top concerns at the NRF APAC 2024.

The Cost Efficiency Conundrum

Even as customer expectations for service and experience climb ever higher, demanding more time and better-trained staff, the pressure to optimize costs intensifies. This stems from a convergence of factors: declining foot traffic in physical stores, a growing complexity of stock keeping units (SKUs), and rising labor costs. Additionally, the rise of omnichannel retail adds another layer of complexity. Physical stores are no longer solely about selling products; they’re expected to fulfill online orders, handle returns, and provide a seamless experience across all channels.

To navigate this complex landscape, retailers must become experts in store economics. This means continuously evaluating and improving processes to identify areas for simplification, elimination, or automation of routine tasks. Many retailers have already implemented lean initiatives, automating tasks like reporting or streamlining inventory stocking. However, the focus often remains siloed, neglecting the bigger picture.

A McKinsey report highlights this by pointing out that traditional cost-cutting efforts often ignore up to 50% of controllable costs stemming from areas like merchandising and supply chain. To truly “bend the cost curve” and achieve long-term operational excellence, a data-driven approach with strong leadership is crucial, enabling retailers to identify and capitalize on cost-saving opportunities across the entire organization. This holistic approach paves the way for the strategic integration of AI-driven automation, the topic we’ll explore in the next section. By effectively optimizing cost efficiency and AI automation in retail, companies can free up resources to invest in superior customer experiences and remain competitive in this dynamic global market.

The Rise of AI-Driven Automation

The second major concern identified by retailers at NRF APAC 2024 – and a rising trend across the globe – is the strategic implementation of AI-driven automation. Retail automation offers a compelling solution to the cost pressures discussed earlier. By streamlining operations, automating repetitive tasks, and minimizing human error, retailers can significantly improve their profit margins and labor efficiency.

However, simply adding technology is not a panacea. To truly reap the benefits of AI automation, retailers need a holistic approach. This involves rethinking operating models across stores, distribution centers, and headquarters. Automation fosters flatter organizational structures, empowering employees to take on broader and more diverse responsibilities. Data and analytics become crucial tools, enabling faster decision-making and a more agile approach to retail operations.

The McKinsey Global Institute‘s research on automation across sectors underscores this point. Their findings suggest that roughly half of all retail activities can be automated using current technologies. It’s also important to remember that automation is not about job displacement. Instead, it’s about job evolution. 

New roles will emerge, requiring different skill sets. Retailers who embrace AI-driven automation will have the responsibility to invest in reskilling and upskilling their workforce to ensure a smooth transition and unlock the full potential of this transformative technology. Additionally, AI-powered analytics can provide valuable insights to inform a successful people strategy, ensuring retailers have the right talent in place to navigate cost efficiency and AI automation in retail operations.

Orquest: Cost Efficiency and AI Automation in retail

As we saw, retailers today face a complex balancing act: ensuring profitability while embracing the transformative power of AI-driven technology. This is where Orquest steps in, serving as the ideal partner for cost efficiency and AI automation in retail.

Its AI-powered Smart Planning solution seamlessly integrates cost-efficiency and AI automation in retail. Through intelligent scheduling, Orquest ensures you have the right people in the right place at the right time. This translates not only to reduced labor costs (up to 5%!) but also to a happier workforce. By precisely matching employee schedules to demand, workload, availability, and contracts, Orquest eliminates unnecessary hours and optimizes staffing.

The power of AI automation goes beyond scheduling. Orquest streamlines in-store operations by strategically deploying staff resources. This translates to shorter wait times for customers, leading to a more positive shopping experience. Additionally, Orquest reduces scheduling time by 90%, freeing up valuable time for store managers to focus on other crucial aspects of their business.

The retail landscape is ever-evolving. By investing in integrated technologies like Orquest, retailers worldwide can navigate these complexities with confidence and agility, shaping a future that is innovative, resilient, and people-centric. 

Embrace the future of retail. Contact us.

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