Nearly 6 in 10 retailers plan to adopt AI, machine learning and computer vision technologies within the next year
Bengaluru, NFAPost: According to a new survey released by Honeywell, nearly six in 10 retailers plan to adopt artificial intelligence (AI), machine learning (ML) and computer vision (CV) technologies over the next year to enhance the shopping experience offered within stores and online.
The research also indicates that retailers see this new technology as complementing and enhancing their workforce and not eliminating jobs.
Honeywell’s AI in Retail survey involved some 1,000 retail directors across the United States, Europe, the Middle East and Africa in leadership roles – including IT, operations, and customer experience. Some of the key findings about the state of AI, ML and CV technologies today include:
· 38% of those surveyed are using these technologies for select use cases or regions
· 35% are using them on a larger scale
· 24% are in a pilot phase or in discussions
· Only 3% said they were not using these technologies at all
Nearly half (48%) of respondents identified AI, ML and CV as the top technologies expected to have a significant impact on the retail industry over the next three to five years.
Honeywell Safety and Productivity Solutions President and CEO George Koutsaftes said in today’s retail environment, there is greater attention on the customer experience along with increased need to innovate in a hyper-competitive environment.
“New technologies like AI, ML and CV have the potential to enable retailers to deliver personalized experiences, optimize operations, improve inventory management and prevent fraud – all of which enhance customer satisfaction and can lead to increased sales and profitability,” said Honeywell Safety and Productivity Solutions President and CEO George Koutsaftes.
AI to enhance customer experience, efficiencies and more
The convenience of online purchasing with fast delivery and curated in-store shopping options have raised consumers’ expectations. Surveyed retailers said they are highly motivated to implement new technologies that help them achieve their goals. The top three reasons leaders gave for deploying new technologies included:
· Improving customer experience (59%)
· Driving greater productivity (49%)
· Achieving cost efficiencies / return on investment (ROI) (44%)
Survey respondents predict that AI, ML and CV will bring the greatest value to four key functions in retail: automating and supporting day-to-day tasks, such as picking and scheduling; supporting customer service, including live chat, for digital channels; creating targeted customer marketing campaigns and improving inventory management.
AI to complement the future workforce, despite some barriers to adoption
Study findings suggest that most retailers see AI, ML and CV primarily as tools to augment and maximize their workforce, rather than to replace employees. Only 7% of those surveyed said their primary purpose for these solutions would be to reduce human labor.
The new technologies can enable better utilization of the workforce through predictive analytics, which can lead, in turn, to improved job satisfaction and more time to focus on higher-value tasks.
Despite the large potential impact of the new technologies – AI, ML and CV – the survey data indicates three primary barriers to widespread adoption:
· Budget restrictions (39%)
· Difficulty in demonstrating business value (29%)
· Lack of internal expertise to maintain the technology (21%)
Honeywell Safety and Productivity Solutions President and CEO George Koutsaftes said the importance of attracting and keeping customers and employees has never been greater.
“As AI continues to evolve, expect an exciting future where innovative technologies unlock new levels of efficiency, engagement and satisfaction in retail,” said Honeywell Safety and Productivity Solutions President and CEO George Koutsaftes.
For additional information on Honeywell’s solutions for retailers, and to read more about the survey results, please visit: https://sps.honeywell.com/us/en/industries/retail.
