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data processing solutions
Gurpreet Singh Arora
Gurpreet Singh Arora Posted on May 10, 2024   |  5 Min Read

The grand shopping festival or Black Fridays might be over now, but it’s never too late for retailers and eCommerce businesses to prepare for the next big shopping surge trend before it can break their stacks. Numerous such businesses rely heavily on the holiday seasons and ‘shopping festivals’ to meet their revenue goals. Surprisingly, half of all businesses and around 73% of SMBs generate more than 25% of their annual revenue from holiday season sales.

Capitalizing upon such opportunities and acing through the competition is only possible if retailers and eCommerce businesses can ‘act’ in real-time upon the gathered data before it loses its value. Nonetheless, where information overload is rampant, the key lies not just in accumulating data, but in efficiently processing and analyzing it to drive actionable insights. Thus, here arises the need for agile and intelligent data processing solutions to transform raw, unorganized data into business intelligence. After all, no business can afford to lose opportunities, especially when the first movers get the advantage of tapping into a wider audience and expanding their user base.

Data Processing Outsourcing Services

Data Deluge: A Challenge and an Opportunity

Statista projects the global data creation to grow by more than 180 zettabytes by 2025. For retail and eCommerce businesses, this staggering figure implies a constant influx of data from diverse sources, including customer transactions and purchase history, product information and inventory levels, website analytics and user behavior, social media interactions and sentiment analysis, loyalty programs, and so on.

While this wealth of data offers valuable insights into customer behavior, buying patterns, and market trends, processing and analyzing it is a significant undertaking—requiring a dedicated amount of time and effort. Apart from consuming valuable internal resources, manual processing of data also delays the generation of actionable insights. This has an adverse impact in terms of money and missed business opportunities. But with automated data processing solutions, eCommerce businesses can easily convert this challenge into an opportunity.

Leveraging the Automation Advantage for Processing Data

Manually collecting the relevant data, cleansing, and processing the overwhelming amount of data present today is a waste of time and effort for the in-house teams. Plus, the process is prone to errors and drains resources increasing the cost-to-serve the customers. Instead, businesses can outsource data processing services or opt for automated solutions. Outsourcing companies leverage advanced technologies like Machine Learning and Artificial Intelligence to streamline the data management process, offering the following benefits:

1. Ingest data from multiple sources – The important stage of processing the data starts with automated data collection stage where data is extracted from siloed resources efficiently. Automated processing solutions seamlessly integrate with various data sources, including sales records, customer relationship management (CRM) systems, social media platforms, and website analytics tools.

2. Cleanse and standardize data – Raw data often has errors, duplicates, and inconsistencies. Data processing companies employ advanced algorithms to identify and rectify inaccuracies by cleansing the data, ensuring the integrity of your data processing and analysis cycle.

3. Transform data into actionable insights – Through data manipulation and analysis, automated solutions extract valuable insights from raw data. This includes identifying customer trends, predicting buying behavior, and forecasting inventory needs.

4. Enhance data security – Automated data processing solutions prioritize data security by implementing robust encryption protocols and access controls. This ensures that your sensitive customer information remains protected.

Driving Growth for eCommerce and Retail Businesses

The transformative potential of automated data processing extends far beyond mere operational efficiency. It serves as a catalyst for growth, enabling eCommerce and retail businesses to optimize every facet of their operations and enhance customer experiences. Other than this, companies can gain a plethora of benefits as listed here:

I. Achieving true personalization: from nice-to-have to necessity for customer engagement

Personalization is no longer a choice, but a necessary option for eCommerce and retail businesses, especially when customers are spoilt for choice with plenty of options. With automated data processing solutions at the helm, retailers and eCommerce businesses can analyze vast troves of customer data in real-time to deliver hyper-targeted marketing campaigns, product recommendations, and promotional offers.

According to Statista’s State of Personalization, 80 percent of the business leaders surveyed acknowledged that personalized experiences led to increased consumer spending, and 62 percent emphasized the favorable impact on customer retention. Additionally, approximately 75% of customers expect better personalization as they provide retailers with more data and as technology advances.

II. Optimizing operations: Maximizing profits with minimum investments

The C-suite is under constant pressure to deliver results and boost efficiency while trimming costs. At the same time, the imperative to deliver an exceptional experience to customers, as well as employees, compels them to look for innovative ways to achieve maximum out of minimum. Automated data processing solutions prove to be an ideal way out for this. By automating repetitive tasks such as inventory management, supply chain optimization, and pricing analysis, retailers and eCommerce businesses can streamline workflows, minimize costs, and maximize profitability.

Research by McKinsey & Company indicates that companies that leverage AI-driven insights to optimize their supply chains can reduce errors by 20-50%. This translates into a reduction in lost sales and product unavailability of up to 65%.

III. Outperformance with better informed decisions by fueling Predictive analytics and forecasting operations

Accurate demand forecasting is imperative for efficient supply chain management and customer experience efforts, given the dynamic nature of the retail and eCommerce industry. Automated data processing equips decision-makers with the predictive analytics necessary to anticipate market trends, forecast consumer demand, and optimize inventory levels accordingly. By leveraging historical sales data, demographic trends, and external factors such as weather patterns, businesses can minimize stockouts, reduce excess inventory, and enhance overall revenue. A staggering 91.1% of companies report that they have achieved some measurable value from their investments in data and analytics.

IV. In-depth insights: to get the nerves of the customer’s pain points & create truly resonating offerings

Understanding the intricacies of consumer behavior is critical to driving business success. Automated data processing empowers decision-makers to gain deep insights into customer preferences, purchasing patterns, and sentiment analysis. By harnessing these insights, retailers and eCommerce platforms can tailor their product offerings, marketing strategies, and customer experiences to resonate with their target audience effectively.

Closing Thoughts

To sum up, harnessing the full potential of data is non-negotiable for retail and eCommerce businesses—and there’s no better way out than data processing outsourcing services. The service providers leverage advanced algorithms to process and analyze sheer volumes of data in real-time. Using the automation advantage, retail and eCommerce businesses can unlock operational efficiencies, drive strategic insights, and deliver unparalleled customer experiences; ultimately, driving growth. Therefore, businesses that embrace automated data processing solutions are sure to emerge as leaders in the ever-evolving landscape of retail and eCommerce.

Business Data Processing Dilemma: Finding the Balance Between In-House and Outsourcing

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