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AI-Based Product Recommendations Boosting E-Commerce Sales

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Cross-selling is a technique that comes from traditional offline stores, where the seller encourages the customer to buy additional products that complement their main purchase or meet their other needs. It’s a win-win strategy that not only increases the order value but also enhances customer satisfaction.

With the emergence of AI-based algorithms that can gather information and analyze consumer behavior, cross-selling has become an even bigger sensation. These algorithms can provide personalized suggestions and adapt in a matter of seconds. The businesses implementing this approach have already seen a large increase in their sales and customer satisfaction.

How AI Assists in Cross-Selling

There are several ways in which AI can assist an e-commerce platform with sales and cross-selling. They are all based on constant consumer behavior analytics.

Enhances Personalization

The biggest use of AI is definitely for personalization. By collecting and analyzing massive amounts of consumer data including purchase history, browsing patterns, demographic information, likes, and dislikes, AI algorithms can provide hyper-personalized recommendations for every online buyer. Such suggestions will be tailored to individual customer preferences and can even anticipate the needs the customers didn’t know they had.

Moreover, algorithms help us to address the “choice overload” — an abundance of available products online that often leads to a decrease in customer satisfaction. When you receive personalized picks tailored to your preferences, you don’t have to waste time and energy scrolling through endless items that you don’t need. You can quickly scan through things that you already liked/looked for before/need without even realizing it.

Offers Predictive Analytics

Another feature that will be very beneficial for businesses utilizing AI for cross-selling is predictive analytics. If personalization is more about the customers and their needs, predictive analysis helps e-commerce platforms decide what to sell, anticipate upcoming trends, and predict potential cross-selling opportunities.

Algorithms use sophisticated predictive analytics models to analyze historical data and learn about customer behavior and purchase patterns through the years to obtain insights about future trends. By putting these skills to use, platforms can enhance their relevance among competitors, increase conversion rates, and allocate their resources more effectively without spending the funds on something that won’t be popular among consumers.

Adapts in Real Time

Besides analyzing historical data and identifying trends based on it, AI algorithms can also monitor customer interactions and feedback. You can target not only one specific platform like yours, but also other e-commerce shops, or even the specific brand or product or the type of customer, etc.

By doing so, AI algorithms can help you adjust cross-selling strategies to optimize relevance and effectiveness and suggest only the most relevant products to your customers. Moreover, the monitoring process is constant, so you can adapt and modify your offer almost in real time.

Provides Seamless Integration Across Channels

As marketing becomes omnichannel, we get used to utilizing different devices simultaneously. For example, you saw a clothing ad on Instagram, clicked on it, added the top you liked to the cart, and then decided to check it out from your laptop. Of course, you expect to see this same top waiting in your cart on the desktop version of the website. Moreover, you feel frustrated if it’s not there and start contemplating whether you need it at all.

Here, AI comes in handy as well. It facilitates integration by aligning cross-selling efforts across multiple channels and platforms, delivering a consistent and unified experience for customers regardless of their preferred mode of interaction whether it’s online, offline, or on mobile devices. We, as customers, expect a seamless and cohesive experience across all touchpoints, and AI is a powerful tool to achieve such cohesion.

AI-Powered Cross-Selling Strategies in Practice

Artificial intelligence technology has been around for some time. So, it’s not just theory anymore — we can easily find AI-powered strategies in practical use. Here are some examples.

Jiffsy — First Store Display App With AI Recommendations

AI can be used for different purposes. For example, in Jiffsy — an app working directly with fashion brands — artificial intelligence is utilized to create modern and unique storefronts without the need to use code and know all the intricacies of backend development.

With the help of Jiffsy, each e-commerce platform can create and maintain a mobile-first storefront with AI recommendations. The app uses Jamstack and PWA technologies that can’t be matched by any Shopify theme. Jiffsy features a unique product feed powered by artificial intelligence.

It can provide personalized recommendations for visitors, which are based on their browsing and purchase history. Through this feature, customers can discover new products based on their fashion preferences. Such feeds increase brand engagement, resulting in higher sales.

Alibaba Mobile Apps With Personalized Product Recommendations

One of the first and largest e-commerce players that started using AI was Alibaba Group, which was established in 1999 and includes different businesses including Taobao, AliExpress, Banggood, etc. These apps are famous around the world for the precise work of algorithms, allowing them to offer customers hyper-personalized recommendations.

Alibaba has its own generative AI called Tongyi Qianwen, which is one of the largest and most powerful AIs known. It has been integrated into the Group’s apps to produce marketing materials, create images, and generate action plans, but it can also analyze large quantities of data like consumer demographics and behavior to provide personalized product recommendations. It does it so successfully that it is now the best-known e-commerce titan in the East and is often compared to Amazon.

In a Nutshell

Artificial intelligence is one of the fastest-growing technologies that are shaping our world today. It has many applications, but it is the most known to users thanks to the personalization capabilities it provides. AI algorithms can collect and analyze massive amounts of data and use it to learn about consumer behavior, predict trends, offer personalized recommendations, provide seamless integration between devices, and adapt in real time. It works for businesses by enabling cross-selling and up-selling options, increasing revenue, and boosting customer satisfaction by meeting their needs and offering tailored experiences.

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Hormonal health

Supermarket receipts shine light on ‘sheer scale and impact of menstrual pain’

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Supermarket loyalty card data suggests more than a quarter of women buying menstrual products also buy pain relief at the same time.

The findings also suggest women in lower-income areas are significantly less likely to do so, pointing to disparities in access to over-the-counter pain relief across England.

The study was led by Dr Victoria Sivill of the University of Bristol and colleagues.

The authors said: “The study highlights the need for greater awareness and policy interventions to address the high prevalence of menstrual pain as well as socioeconomic dimensions of menstrual pain.

“Public health initiatives should incorporate menstrual pain relief as part of broader efforts to improve health equity.”

Researchers analysed anonymised loyalty card data from a major UK health and beauty retailer, covering 211m transactions by 3.4m people between 2006 and 2015.

The study examined how often shoppers bought menstrual products and pain relief in the same transaction, and compared this with a customer’s usual rate of buying pain relief.

It found that 26.7 per cent of customers who bought menstrual products also bought pain relief at the same time.

These customers were nearly four times more likely to buy pain relief when buying menstrual products than on other shopping trips.

As a check on the approach, researchers found the most common interval between consecutive menstrual product purchases was exactly 28 days, consistent with the average menstrual cycle.

Menstrual pain is common and can affect daily activities, including school and work attendance.

Regional income was the strongest predictor of menstrual pain purchases.

Customers in the lowest-income areas were 32 per cent less likely to buy pain relief at the same time as menstrual products than those in the highest-income areas.

The authors said lower rates of pain relief purchases in deprived areas are likely to reflect an inability to afford over-the-counter medication rather than lower rates of menstrual pain itself.

Co-author Dr James Goulding said: “It is wonderful that smart data research in the UK is able to bring issues which may have once been overlooked in scientific settings, such as the sheer scale and impact of menstrual pain, to light. This is well overdue.

Co-author Dr Anya Skatova said: “Like many women, I was aware of how common menstrual pain is, but the scale of painkiller purchases alongside menstrual products was still striking.

“Using shopping data, we can see just how widespread the need for pain relief really is. This kind of evidence helps make menstrual pain visible at a population level and provides a strong foundation for systemic change in how it is recognised, treated, and prioritised in public health.”

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Menopause

Women still being failed when they reach menopause, experts say

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Women are still being failed by menopause care despite a surge in online advice, with experts saying symptoms are too often minimised or dismissed.

The researchers exposed a gap between the surge of menopause information available online and the quality of medical care women receive.

A team of anthropologists and psychologists explored the physical and emotional toll of menopause, including its impact on work and personal lives, through interviews with 60 women aged 45 to 61 between March and June 2021.

The findings were published in a new book, We Need to Talk About Menopause.

The interviews showed how women continue to “needlessly suffer” as they sort through misinformation from influencers, celebrities and so-called experts.

The authors said: “You would think in an age where humans are developing commercial space flight, self-driving cars, and AI personal assistants who can project movies onto the palm of your hand, we would understand more about menopause, something a little over half of the population is guaranteed to experience in their lives.”

The interviews revealed wide variation in women’s experiences of doctors.

Some felt they could have an open dialogue, while others said they were “shut down”, including being told they were too young for menopause.

One woman said she bled heavily for a year before she was taken seriously.

The authors said menopause is still poorly understood, with disagreement over whether it should be seen as a medical condition or a natural part of ageing.

There are more than 100 recognised symptoms, although some women experience none.

Among those interviewed, 78 per cent reported weight gain and redistribution, particularly around the belly area, which was resistant to diet and exercise.

Fifty-eight per cent experienced mood disturbances including anxiety, depression, irritability and unprecedented levels of rage.

Many women said they were blindsided by symptoms they had never known existed.

One participant said she only realised rage was a menopause symptom after seeing it mentioned in a television commercial.

Women also described severe memory problems and brain fog that colleagues mistook for incompetence, leading successful professionals to question their abilities at the peak of their careers.

Brain fog can include problems with concentration, memory and clear thinking.

According to Statistics Canada, 70 per cent of women turn to the internet as their primary source of menopause information.

The authors said this information vacuum has spawned a £14.7bn global “meno-tech” industry, with influencers, celebrities and telehealth companies offering products ranging from £98 creams to unnecessary blood tests.

They said: “The growth of interest in menopause has also been accompanied by a wave of unsubstantiated information.

“Many websites market expensive creams, supplements, and weight-loss schemes that promise to keep women youthful and attractive, with little evidence to support their claims.

“Reliable, accessible information about menopause and perimenopause is still lacking. Despite increased attention to the importance of physician training and the search for menopause specialists, the medical profession as a whole continues to provide limited support in this area.”

The authors also highlighted the effect of menopause in the workplace.

The House of Commons Women and Equalities Committee has warned that Britain is “haemorrhaging talent” because of menopause, with 14 million workdays lost each year, according to the Office for National Statistics.

Despite this, studies have shown 80 per cent of UK employers have yet to implement proper support measures for menopausal women.

Some women said simple workplace adjustments made a significant difference.

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UK report warns against ‘financial half measures’ for women’s health

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The Women and Equalities Committee (WEC) has warned against “financial half measures” on women’s health as the government published its response to the report.

Ministers launched the renewed Women’s Health Strategy in April after the committee’s March report concluded it was not convinced that the menstrual and gynaecological needs of young women and girls had been sufficiently prioritised in wider healthcare reforms.

It followed the committee’s 2024 “medical misogyny” report, which found women with painful reproductive health conditions such as endometriosis, adenomyosis and heavy menstrual bleeding were frequently finding their symptoms “normalised” and their “pain dismissed” when seeking help.

In both reports, MPs called on the government to recognise the benefits of increased investment in early diagnosis and treatment of women’s reproductive health conditions and provide additional funding needed to transform the support available to millions of women.

In its response, published on 26 May as a command paper, the Department of Health and Social Care outlined action on reducing gynae waiting times, ensuring procedures are conducted with women’s full consent and adequate pain relief, and improving access to contraception for menstrual healthcare in line with the committee’s recommendations.

It said: “The government agrees with the committee’s overarching findings and recommendations for improving women’s health outcomes and experiences.

“We acknowledge the impact that menstrual health conditions can have on women’s lives, relationships, and participation in education and the workforce.

“We recognise that more needs to be done to support women with menstrual health conditions, particularly around listening to women, improving information and education, and enhancing patient experience.”

However, there was no commitment to increase school nurse provision, no measurable actions and targets on countering online misinformation, no new commitments to end inappropriate censorship of women’s online health content, and no further initiatives on tackling racial discrimination or understanding the menstrual wellbeing needs of young disabled and Deaf women.

The response comes after analysis by The Times suggested the government is allocating 60 per cent more funding to its men’s health strategy than to its renewed strategy for women’s health.

Sarah Owen, chair of the Women and Equalities Committee and Labour MP, said: “WEC’s 2024 ‘medical misogyny’ report warned 18 months ago of women in unnecessary pain and undiagnosed for years and called on the Government to recognise the benefits of increased investment in early diagnosis and treatment.

“Our follow up report this March cautioned girls’ and women’s health are not being sufficiently prioritised in system-wide NHS reforms, while initiatives which have proven to be successful in reducing waiting lists and improving women’s healthcare access, such as women’s health hubs, risked being scaled back or discontinued.

“While it’s welcome to see a focus on tackling ‘medical misogyny’ in April’s renewed Women’s Health Strategy and an emphasis on women’s voices being heard, this must be backed by adequate funding, not financial half measures, particularly when compared to men’s health.

“Significant questions remain following today’s response publication over the adequacy of investment being provided, including for workforce training, menstrual health education in schools, research and additional ring-fenced funding for women’s health hubs to deliver services within the emerging neighbourhood health framework.

“There are both opportunities and risks when it comes to increasing use of technology in women’s healthcare.

“As the Committee’s report set out, social media companies should be held to account for inappropriate and disgraceful ‘shadow banning’ censorship of important women’s health content and there should be a rigorous approach to tackling the risks from ineffective, unsafe and exploitative for-profit FemTech apps.

“The Government should take the problem of ‘shadow banning’ more seriously.

“A strategy which does not fully address the concerns set out in WEC’s report, alongside measurable actions and timescales, will only scratch the surface of the issues facing women’s health.

“WEC will keep a close eye on progress and continue to push for long overdue tangible change for women and girls.”

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