Artificial intelligence (AI) is the next big step for retail and FMCG companies following the implementation of advanced big data and analytics (BDA) solutions, which can unlock huge data volumes in an automated way in real-time and ultimately lead to maximum profitability, according to data and analytics company GlobalData.
The company’s Disruptor Database revealed that although retailers have grown to their current size by capitalizing on profitable bits of digitalization, they are often challenged in understanding what their customers need at scale. There is a colossal amount of customer data with enterprises, but only a handful are able to generate value deemed from low conversion rates of below 5% overall.
This broadens the scope for retailers and consumer goods companies to use predictive analytics to enhance decisions related to supply chain management, customer behavior, staff allocation and the likelihood of goods being damaged, lost or returned.
Rena Bhattacharyya, Technology Research Director at GlobalData, says: “While most analysis related to understanding market trends, achieving greater customer personalization, and improving operational efficiency can be performed with BDA methods, AI in many cases is less cost intensive and faster - at times even instant.. Intelligent machine learning systems can replace expensive armies of data scientists and provide solutions or product recommendations in an automated way. The timing of the analytics is crucial, since opportunities for cost savings or additional sales are frequently limited to minutes or even seconds.”
What made their way through the experimental phase of AI in FMCG and retail are the use cases related to predictive analytics. For example, thanks to the integration of machine learning, eBay is now able to help sellers on its platform with solutions ranging from delivery time to fraud detection. It can also discover gaps in inventory of a particular product and alert related sellers to stock up on that item, as well as make price recommendations based on trending events automatically.
Procter & Gamble used deep learning technology to create a skin advisor service for its Olay brand. After screening millions of selfies and spotting key age characteristics, Olay’s service can provide women with personalized product recommendations based on skin analysis.
Leading retailers including Amazon, Alibaba, Lowe’s and Tesco are developing their own AI solutions for automation, analytics and robotics use cases. At the same time, many retailers have not implemented any AI solutions yet and are likely to fall behind their competitors.
“AI is the path to maximum profitability. It will be the technology platform that reaps the biggest rewards. Retail and FMCG companies looking to launch AI-based solutions should start by understanding the needs of their target customer base, focus on providing an omnichannel experience, and strive to achieve cost savings through greater efficiency,” concludes Bhattacharyya.
Related Stories
Market Data | Apr 6, 2017
Architecture marketing: 5 tools to measure success
We’ve identified five architecture marketing tools that will help your firm evaluate if it’s on the track to more leads, higher growth, and broader brand visibility.
Market Data | Apr 3, 2017
Public nonresidential construction spending rebounds; overall spending unchanged in February
The segment totaled $701.9 billion on a seasonally adjusted annualized rate for the month, marking the seventh consecutive month in which nonresidential spending sat above the $700 billion threshold.
Market Data | Mar 29, 2017
Contractor confidence ends 2016 down but still in positive territory
Although all three diffusion indices in the survey fell by more than five points they remain well above the threshold of 50, which signals that construction activity will continue to be one of the few significant drivers of economic growth.
Market Data | Mar 24, 2017
These are the most and least innovative states for 2017
Connecticut, Virginia, and Maryland are all in the top 10 most innovative states, but none of them were able to claim the number one spot.
Market Data | Mar 22, 2017
After a strong year, construction industry anxious about Washington’s proposed policy shifts
Impacts on labor and materials costs at issue, according to latest JLL report.
Market Data | Mar 22, 2017
Architecture Billings Index rebounds into positive territory
Business conditions projected to solidify moving into the spring and summer.
Market Data | Mar 15, 2017
ABC's Construction Backlog Indicator fell to end 2016
Contractors in each segment surveyed all saw lower backlog during the fourth quarter, with firms in the heavy industrial segment experiencing the largest drop.
Market Data | Feb 28, 2017
Leopardo’s 2017 Construction Economics Report shows year-over-year construction spending increase of 4.2%
The pace of growth was slower than in 2015, however.
Market Data | Feb 23, 2017
Entering 2017, architecture billings slip modestly
Despite minor slowdown in overall billings, commercial/ industrial and institutional sectors post strongest gains in over 12 months.
Market Data | Feb 16, 2017
How does your hospital stack up? Grumman/Butkus Associates 2016 Hospital Benchmarking Survey
Report examines electricity, fossil fuel, water/sewer, and carbon footprint.