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
Industry Research | Jun 26, 2017
Time to earn an architecture license continues to drop
This trend is driven by candidates completing the experience and examination programs concurrently and more quickly.
Industry Research | Jun 22, 2017
ABC's Construction Backlog Indicator rebounds in 2017
The first quarter showed gains in all categories.
Market Data | Jun 21, 2017
Design billings maintain solid footing, strong momentum reflected in project inquiries/design contracts
Balanced growth results in billings gains in all sectors.
Market Data | Jun 16, 2017
Residential construction was strong, but not enough, in 2016
The Joint Center for Housing Studies’ latest report expects minorities and millennials to account for the lion’s share of household formations through 2035.
Industry Research | Jun 15, 2017
Commercial Construction Index indicates high revenue and employment expectations for 2017
USG Corporation (USG) and U.S. Chamber of Commerce release survey results gauging confidence among industry leaders.
Market Data | Jun 2, 2017
Nonresidential construction spending falls in 13 of 16 segments in April
Nonresidential construction spending fell 1.7% in April 2017, totaling $696.3 billion on a seasonally adjusted, annualized basis, according to analysis of U.S. Census Bureau data released today by Associated Builders and Contractors.
Industry Research | May 25, 2017
Project labor agreement mandates inflate cost of construction 13%
Ohio schools built under government-mandated project labor agreements (PLAs) cost 13.12 percent more than schools that were bid and constructed through fair and open competition.
Market Data | May 24, 2017
Design billings increasing entering height of construction season
All regions report positive business conditions.
Market Data | May 24, 2017
The top franchise companies in the construction pipeline
3 franchise companies comprise 65% of all rooms in the Total Pipeline.
Industry Research | May 24, 2017
These buildings paid the highest property taxes in 2016
Office buildings dominate the list, but a residential community climbed as high as number two on the list.