Adapting to a New Workforce Model

This article delves into the new workforce model and how retailers can leverage retail footfall data to stay ahead in the game. Keep reading to learn more.

Adapting to a New Workforce Model | StoreTech

Retail Staff Scheduling

Footfall analytics

The retail landscape is experiencing a significant shift as traditional brick-and-mortar stores face increasing competition from online retailers. With declining footfall in physical stores, retailers are under immense pressure to adapt and evolve their business models.

The future of retail will be shaped by the ability to harness the power of footfall analytics in retail and embrace the changing workforce dynamics. This article delves into the new workforce model and how retailers can leverage retail footfall data to stay ahead in the game.

1. Understanding the Changing Retail Workforce Model

The retail industry is experiencing a major transformation with the rise of technology and e-commerce. As a result, the workforce model is evolving to better adapt to these changes. The future retail workforce will be characterised by a few key trends:

  • Increased Workforce Flexibility: Retailers are recognising the need to have a flexible workforce that can adapt to shifting business needs. This includes hiring temporary staff during peak seasons, offering flexible working hours, and utilising remote and gig workers for specialised tasks.
  • Upskilling and Reskilling: As the retail industry evolves, so too must the skills of its workforce. Retailers will need to invest in training and development programs to ensure their employees have the necessary skills to thrive in an increasingly digital and customer-centric environment.
  • Emphasis on Customer Experience: Retailers will need to focus on enhancing the in-store experience to attract and retain customers. This may involve hiring staff who possess exceptional interpersonal skills, as well as investing in technologies that improve the shopping experience, such as virtual fitting rooms and personalised shopping assistants.

2. Leveraging Retail Footfall Data to Drive Business Decisions

In the face of declining footfall, retailers must leverage footfall analytics in retail to gain insights into customer behaviour, preferences, and trends. Retail footfall data can provide valuable information that can inform various aspects of a retailer's business strategy, including:

  • Store Layout and Design: By analysing footfall data, retailers can identify high-traffic areas within their stores and optimise the layout to encourage browsing and increase sales. This can involve strategically placing popular products in high-visibility areas, creating attractive window displays, and ensuring there is adequate space for customers to move around comfortably.
  • Staff Scheduling: Retailers can use footfall analytics to determine the busiest times of day and week, enabling them to allocate staff resources more effectively. This can help to reduce labour costs and ensure that there are always enough employees on hand to assist customers during peak times.
  • Marketing and Promotions: Footfall data can reveal trends in customer behaviour that retailers can use to inform their marketing strategies. For example, retailers can identify and target specific customer segments with personalised promotions, or schedule events and sales during periods of high footfall.

3. Embracing Technology to Enhance the Retail Experience

As technology continues to advance, retailers must stay ahead of the curve by adopting innovative tools and solutions that improve the shopping experience. Some of the key technologies that will shape the future of retail include:

  • Augmented and virtual reality: These immersive technologies can be used to create interactive and engaging shopping experiences for customers. For example, virtual fitting rooms can allow customers to try on clothes without physically changing, while augmented reality can be used to overlay product information and reviews onto physical items in the store.
  • Artificial Intelligence and Machine Learning: AI can be used to analyse retail footfall data and provide actionable insights for retailers. Additionally, machine learning algorithms can be utilised to personalise the shopping experience for individual customers, based on their browsing and purchase history.
  • Robotics and Automation: Retailers can deploy robots to assist with tasks such as inventory management, customer service, and cleaning. This can help to improve efficiency and reduce labour costs, while also freeing up human employees.

Conclusion

The future of retail is rapidly evolving, and retailers must adapt to stay ahead in the game. By embracing the changing workforce model and leveraging retail footfall data, retailers can gain valuable insights into customer behaviour and preferences. Additionally, by adopting innovative technologies, retailers can enhance the shopping experience and drive business growth. 

Are you seeking assistance with your retail business? Look no further than StoreTech! With a vast experience of 24 years in footfall analytics, we offer people counting solutions that enhance performance, gauge demand, and elevate the customer experience. Don't miss out on the opportunity to improve your retail business. Contact us today to schedule a consultation!

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We are experts in people counting. Helping retail bricks and mortar businesses measure their customer traffic to boost conversion rates and increase sales. Footfall analytics provides powerful insight to align staff to demand and deliver a better customer experience. 

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