Author: Shruthi Nair

  • Structured and Unstructured data – Benefits of Big Data

    Structured and Unstructured data – Benefits of Big Data

    The big buzzword of the decade has got to be data. When the untapped potentials of great data were first discovered, experts started calling it the new oil, implying that it is now the most precious resource. And then when the usage of data became more mainstream, where corporations started mining and getting access to piles of data, people started calling it the new soil, insinuating that if all this data isn’t regularly nurtured and optimally used, it would be rendered useless. 

    But amidst all this hype, all the clutter, and all the buzz around this four-letter word, data is just a bunch of numbers and statistics collected for reference and analysis. Basically, it is just what you, your company, your government, or your country make of it. So how can retailers make the most of it? 

    Before assessing the use cases, it is paramount to understand the different types of data retailers have access to today. Broadly, it is structured and unstructured. Log files, excel spreadsheets with point-of-sale figures, hierarchies, and inventory data are rich sources of structured data; and information that is derived from in-store sensors, customer reviews, social media posts and hashtags, and even conversations between the store staff and customers serve as unstructured data. While the former sits on well-organized databases for retailers to access, giving them operational robustness, unstructured data gathered from social media and personal interactions helps retailers achieve unprecedented value and gain a competitive advantage. However, the very nature of unstructured data makes the process of obtaining, analyzing and making sense of it rather difficult.

    Structuring vs Unstructured
    Structuring vs Unstructured

    In fact, according to a survey by Deloitte, only 18% of organizations reported being able to take advantage of such data. However, harnessing this data isn’t rocket science (not anymore, at least) as there are a number of tools at a retailer’s disposal today that makes this process convenient and efficient. At DataWeave, we help retailers and brands make sense of unstructured data. Read more about our tech here

    Unstructured data is also qualitative, rather than being quantitative, which in turn makes its use cases more effective, giving businesses a competitive edge. How? Glad you asked!

    Customer Behaviour Analytics

    What motivates a customer to buy more, or spend more time in a store or online? What is the best time to reach them and where (in an omnichannel world) would they like to be reached? Million-dollar questions, right? Big data gives you insights into this and more, which will then help improve customer acquisition and loyalty. 

    UK-based home retailer Argos uses data to find out exactly how consumers felt about them. After having embarked on an ambitious project of opening 53 new digital stores a few years back, Argos invested in tools that helped them analyze data received from various social media sites based on the demographics and location to assess the performance of each store and identify rooms for improvement. This helped them understand which stores were perceived more favorably and in which areas, quickly identify issues in-store, action feedback, and find resolutions to increase customer satisfaction.

    Want to know customer sentiment against your product? Our Sentiment Analysis solution can help! Access in-depth insights sourced from customer opinions with our constantly evolving algorithm.

    DataWeave Sentiment Analysis
    DataWeave Sentiment Analysis

    Personalization and hyper-personalization

    The fact that customers are interacting with retailers on multiple platforms today gives retailers access to a wealth of information about their individual customers that could help them tailor their products, offerings, services and communication to these individuals. According to a study conducted by BCG and commissioned by Google, customers increasingly prefer a shopping experience that’s easy and fast and that helps them make purchase decisions.

    Target’s popular pregnancy prediction score based on purchase and purchase volume of about 25 different products in-store, such as unscented lotion, large amounts of calcium, magnesium, and zinc, serves as a great example of how they use this information to then target advertising (e.g sending a booklet of coupons related for baby products) to this cohort of their customers. This algorithm got the international limelight when Target started sending such coupons to the irate father of a teenager who had no idea that his daughter was pregnant. Basically, the retailer knew about the man’s daughter’s pregnancy even before he did!

    Operations and supply chain

    Amazon Go
    Amazon Go

    A healthy mix of structured and unstructured data is key today in achieving operational excellence. Faster product life cycles and ever-complex operations cause organizations to use big data in retail analytics to understand supply chains and product distribution to reduce costs. Combining that with CRM, ERPs, and other log file data can help in real-time delivery management, improved order picking, and overall supply chain efficiency to reduce costs. 

    Amazon Go, the checkout-free convenience store by Amazon uses AI-powered cameras, computer vision, and sensors to facilitate grab-and-go systems. Now, the store wholly relies on structured and unstructured data in order to function.  The sophisticated automated system makes ordering and restocking highly efficient, given that the cameras can track inventory in real-time. The system knows how many picks-per-hour each stocker is completing and exactly when items go out of stock. 

    The fact that data enables prediction and forecasts can help cater to a prospective rise in demand by managing the supply chain in advance. For example, if a pharmaceutical company analyzed social media content and determined that people in specific geographical areas were discussing cold and flu symptoms, that could give them a heads-up that demand for products to treat those conditions is on the rise.

    Price and cost optimization

    Machine learning algorithms are not only designed to learn, but over time they get better at finding the optimal price points for retailers. Retailers can use machine learning models to set prices against sales targets. According to an IBM study, 73 percent of companies surveyed plan to optimize their pricing and promotions through smart automation before the end of 2021.

    Automation achievers outshine peers in profitability and revenue growth
    Automation achievers outshine peers in profitability and revenue growth

    Walmart has shrewdly utilized powerful proprietary algorithms to make their offers nearly impossible to beat over the last few years. It still reigns in offering the best price match policy for their customers. This strategy has helped it gain a lot of trust, good publicity, and enabled retention of customers. But how do you optimize what you charge without pricing yourself out? That is where data comes into play. You need real-time monitoring across thousands of stock-keeping units (SKUs) to identify key value categories and items. With proper data analytics in your pocket, you can ask and answer the following important questions: Which items’ prices matter most? Which items have the biggest pull on price perception?  What pricing strategies are competitors adopting, and how can you match them? And which items can you afford to reduce in price to win loyalty and boost that very perception?

    Learn more about how DataWeave can help retailers make smarter pricing decisions

    Seamless shopping journey
    Seamless shopping journey

    Every company uses data to achieve its own personal goals and objectives, but what makes one retailer better than the other is how they use both structured and unstructured data to provide a seamless experience and shopping journey to customers in a way that is effortless, non-intrusive, and innovative. So use your structured data and also find a way, use the tools, and leverage the power of technology to structure your unstructured big data. In today’s competitive retail landscape where retailers – both online and offline – are leveraging cutting edge technologies to deliver close-to-perfect products and services, and innovative concepts, it is only the ability to harness all forms of structured and unstructured data that will result in achieving your ever-evolving customer engagement and experience goals. 

    Want to learn how DataWeave can help make sense of your unstructured data? Sign up for a demo with our team to know more. 

  • “The Rise of Digitally Native Brands (DNVB)”

    “The Rise of Digitally Native Brands (DNVB)”

    Direct-to-Consumer (D2C), Digitally Native Vertical Brands (DNVB), and brand.com serve as
    different variations of a similar concept that has blown up in the past few years fueled by factors ranging from a surge in online shopping, stay-at-home restrictions brought about by the pandemic, and a general shift in consumer behavior.

    US D2C E-commerce sales

    D2C sales were forecasted to account for $17.75 billion of total e-commerce sales in 2020, up 24.3% from the previous year, according to eMarketer. The Middle East might have been late in joining the party but the key players from across the board including brands that sold the traditional way via wholesalers and retailers or those that use online marketplaces such as Amazon and Noon, and the new brands entering this nascent market today are all realizing the potentials of communicating with and selling to customers directly.

    The Middle East has one of the highest youth populations in the world with more than 28% of the residents aged between 14 and 29. This means that a great chunk of the population is inherently digital natives, who grew up with smartphones. These young tech-savvy consumers are more informed, are massively influenced by social media for their purchases, are more value and purpose-driven compared to the older generations, as a result of which are open to experimenting with newer brands that align with their ideas and ideologies.

    This presents an opportunity for both traditional retailers as well as nascent brands to tap into their e-commerce potential and tailor their offerings to this new cohort of customers leveraging data to understand their individual needs by connecting and engaging with their customers. And the best way to “pivot” to the ever-evolving demands would be by adopting the D2C approach.

    Some of the benefits of the D2C milieu in retail would be:

    Access to Customer Data
    Access to Customer Data

    1. Complete access to customer data

    Many retailers agree that data is the real differentiator in D2C retail. Using marketplaces like noon.com and Amazon to retail products is great because of the large customer base they have access to, but the downside is, these behemoth marketplaces own the customers and hence their data. The importance of data can’t be stressed enough, but a key use case of all that complex algorithm is that it empowers retailers to customize and personalize offerings to their customers. According to a study by InstaPage, 74% of customers feel frustrated when website content is not personalised.  Not having control or access means, they are now crippled from the ‘ability to customize’.

    2. Building direct connections with customers

    Building direct connections with customers
    Building direct connections with customers

    Trust is a strong consideration for most consumers today. According to a PWC report, 60% of consumers in the Middle East shop online with companies they feel they can trust Gaining trust has proven to be an arduous task for retailers, who now must assure security and demonstrate high levels of education and awareness of their customers, which can only happen through direct connections, personal interactions, and consistent engagement. D2C brands are much better placed to respond to consumer demand to meet their expectations and more importantly address and resolve any grievances they might have. 

    3. Increasing margins by cutting out middlemen

    Increasing margins by cutting out middlemen
    Increasing margins by cutting out middlemen

    Studies have shown that successful D2C companies have a gross margin of 50 – 85%, thanks to two components – effective customer acquisition and eliminating middlemen. Brands with their own unique value proposition, voice, channels and strategies come across as more authentic, and for the millennials and Gen Z, authenticity is the name of the game. Secondly, and perhaps more evidently, getting rid of distribution partners ends up saving costs for the company tremendously.

    Also, e-commerce eliminates the high fixed distribution costs brands used to pay retailers for shelf space and replaces it with variable costs to list on their website or an e-commerce marketplace. However, one thing to keep in mind when listing on marketplaces is that digital channels provide transparency into pricing. And customers will be comparing the prices of your products against your competitors. That’s why it’s critical for D2C brands to benchmark their pricing strategies against their rivals to drive more revenue and margins by pricing products competitively. Want to know how? Read about how DataWeave’s AI-Powered e-commerce analytics solutions can help

    4. Enables to expand presence 

    Enables to expand presence
    Enables to expand presence

    While the D2C approach is proving to be profitable, it also gives brands the flexibility to expand and enhance their presence. Nike would be a prime example of how it has aggressively expanded its presence offline and online since it announced a decade back about its Customer Direct Acceleration strategy. Over the years, Nike’s D2C sales have grown from 16% of the brand’s total revenue to 35% or $12.4 billion by the end of fiscal 2020. Undoubtedly, Nike’s e-commerce focus has been strong, but what they have also mastered is its digitally integrated concept stores that have taken in-store experience to the next level. Moreover, going the D2C way has given the brand more flexibility to build on its voice and purpose, which is reflected across all of its channels and touchpoints. As a result, Nike has been able to grow its presence in existing markets, and establish the brand in new markets by widening its e-commerce penetration and opening stores that helps build communities and serve as marketing fronts instead of merely being points of sale.

    In the Middle East too, there are some strong players, that realized the benefits of D2C and are reaping the benefits now. The most prominent of them would be Huda Beauty, founded by makeup artist turned billionaire entrepreneur Huda Kattan. Beginning as a blog in 2010, Huda Beauty has fast become the number one beauty Instagram account in the world. Huda launched her brand into Sephora in the Dubai Mall in 2013 and has since expanded the range to include a vast array of beauty products. The brand has since had several record-breaking launches globally, with products now available worldwide on hudabeauty.com as well as retailers including, Sephora, Sephora in JC Penney, Harrods, Selfridges, and Cult Beauty. Equipped with a clear value proposition and an army of loyal customers, the company continues to grow as its founder continues to deliver on the brand promise and remains connected with her customers bypassing middlemen. 

    Also read how DataWeave helped Douglas, a premium beauty retailer in Germany go D2C when the pandemic forced them to focus on their ‘Digital First’ strategy. 

    Another example would be the popular eyewear brand, Warby Parker, a company that capitalized on technology, data, and strived to bring a solution to the market. It stepped into an industry that was criticized for being expensive, entered a market that was skeptical of purchasing online, and turned the whole situation around by going D2C. They designed their own frames and sourced their own raw materials, drastically bringing down the costs that would have been passed on to end consumers. They introduced virtual try-on that delivered accurate results turning customers into loyal consumers. And today, after six separate rounds of fundraising, the company is reportedly set to launch an Initial Public Offering this year.

    The playing field in the Middle East is wide open and the appetite for brands that respect value, put people over profits, care about providing suitable, cruelty-free, and ethical products, and understand their customers is only growing. Brands with a robust infrastructure, the right technical know-how and technologies, expertise to manage data, and clear strategies are already on the right path to establishing a strong D2C platform. 

    Insights from DataWeave can help D2C brands make smart, competitive assortment, promotion, and pricing decisions amongst other things to improve the customer experience and drive e-commerce sales. Sign up for a demo with our team to know more.