Future of E-Commerce: AI, Data & Tailored Experiences
Veltris
MENU
  • Company
      • AboutusAbout Us
      • __CSR_mainCSR
      • LeadershipLeadership
      • __Life at Veltris-mainLife at Veltris
      • ChannelPartnerships
      • Contact usContact Us
      • veltrisPressroom
      • EventsEvents
  • AI Services
    • Digital-CloudAI-Augmented Engineering
    • Data-AIAI Readiness & Data
      Modernization
    • __Connectivity & Industry X.0_1 (1)AI Monetization
    • __Product Lifecyle & Managed Services_1Product Lifecycle &
      Managed Services
  • Industries
    • HealthcareHealthcare
      • __Health TechHealthTech & MedTech Platforms
      • __Dental CareDental & Multi-Unit Retail Health
      • __Pharmacy Benefit Management (PBM)Pharmacy Benefit Management (PBM)
    • Hi TechTechnology
      • __Technology Products & PlatformsSoftware / XTech / AI Platforms
      • __Communications Service ProvidersSecure Networking & Infrastructure
    • Diversified-IndustrialsIndustrials
      • __Autonomous Vehicles and LogisticsLogistics & Mobility Tech
      • __Engineering and ConstructionEngineering & Construction Tech
  • Insights
    • BlogsBlogs
    • White papersWhitepapers
    • Glossary-svgAI Guides and Innovations
    • CasestudiesClient Case Studies
  • Careers
  • Vertical AI Platform
    (VeltrisOne™)
Get My AI Readiness Score
Veltris
Get My AI Readiness Score
  • Company
    • About Us
    • Leadership
    • Partnerships
    • Pressroom
    • Events
    • CSR
    • Life at Veltris
  • Services
    • AI-Augmented Engineering
    • AI Readiness
    • AI Monetization
    • Product Lifecycle & Managed Services
  • Industries
    • Healthcare
      • Healthtech Platforms
      • Dental & Multi-Unit Retail Health
      • Pharmacy Benefit Management (PBM)
    • Technology
      • Software / XTech / AI Platforms
      • Secure Networking & Infrastructure
    • Industrials
      • Logistics & Mobility Tech
      • Engineering & Construction Tech
  • Insights
    • Blogs
    • Whitepapers
    • AI Guides and Innovations
    • Client Case Studies
  • Careers
  • Get My AI Readiness Score
Blogs

What is next for personalization in E-Commerce?

August 29, 2023 | Team Veltris
  • Blogs
  • Digital & Cloud Engineering
  • Technology, Communications & Media

With time we have seen an increase in users flocking to digital commerce platforms as the data suggests by 2026, 24% of retail purchases are going to take place online. There are two main reasons why users prefer choosing to make a purchase online – convenience and personalization. As we see brands heavily investing ideas and strategies in providing personalized experiences, what is really next for personalization in e-commerce?

Customers Expect Personalization

In the quest for personalized shopping experiences, companies seek deeper connections with customers. Tailor-made journeys resonate with individual tastes, fostering lasting loyalty. However, relying solely on personal identifiable information (PII) may lead to presumptions based on demographic data. Is it genuine personalization when you receive identical product recommendations as others in your age group, gender, or location?

In 2023, businesses approaching personalization have to start challenging traditional methods. Especially when 80% of online shoppers are strongly inclined to make additional purchases from e-commerce businesses that provide a personalized experience.

Future of Personalization in E-Commerce

In today’s ever-evolving digital landscape, the strides made in technology, analytics, and data have empowered digital marketers to craft highly personalized human experiences at every stage of the purchasing process, spanning various channels. The consumer journey now transcends the traditional confines of physical brand entryways. Despite these exciting developments, a mere 15% of sellers are confident that their e-commerce ventures have achieved true personalization. To shed light on the future of personalization in e-commerce, we’ve gathered expert insights and compiled a set of essential pointers for you.

Incorporating AI and Machine Learning

AI and ML present an exceptional opportunity to elevate personalization to new heights by anticipating and understanding consumers even before their initial engagement. The transformative potential of AI also extends to reshaping the language used on e-commerce websites, tailoring it to suit the specific needs and preferences of individual visitors. With the help of AI, online retailers are providing users with highly relevant and contextually appropriate answers to their queries. Leveraging these cutting-edge technologies, e-commerce platforms can offer personalized product recommendations based on each customer’s previous purchase history, leading to more meaningful interactions. Additionally, curated content can be served to guide users seamlessly through the purchase journey, enhancing the overall shopping experience.

Businesses Choosing to utilize first-party data

In the upcoming year, businesses are shifting away from relying on third-party data for personalization. This data typically encompasses generalized stereotypes based on aggregated information, failing to consider the unique tastes, interests, and motivations of individual customers. Moreover, concerns regarding privacy have escalated due to the use of intrusive data tracking techniques.

Instead, a new approach is gaining momentum, where businesses will focus on leveraging data derived from consumers’ real-time behaviors. By analyzing factors such as the products customers are clicking on and the time they spend exploring each item, companies can gain deeper insights into the context of each visit and discern each individual’s preferences and interests. This valuable information empowers businesses to understand precisely what products customers are seeking, leading to more personalized and relevant recommendations.

Going beyond the One-Size-Fits-All

A customer journey starts right from the first touch point on your website to the point where they make a purchase. But during a personalized approach, this customer journey is thoughtfully crafted, considering individual behaviors, preferences, and needs. Customized customer journeys provide the user with an engaging experience where the probability of him dropping out and checking other competitor websites is lower. From crafting personalized landing pages based on a customer’s location to offering checkout processes that effortlessly remember preferred payment methods, businesses can elevate satisfaction levels and drive recurring purchases. 

Building SaaS E-commerce Platforms 

The transformation of e-commerce personalization begins with robust Software-as-a-Service (SaaS) platforms. These pivotal tools offer a customizable environment for merchants to deliver personalized customer experiences. By leveraging customer data and segmentation, businesses can target their audience with tailored marketing messages, special offers, and relevant product recommendations. The result is an improved shopping journey, higher customer satisfaction, and increased sales and retention rates. 

West Agile Labs can develop and integrate the necessary features to leverage customer data and segmentation, allowing your business to target your audience with tailored marketing messages, special offers, and relevant product recommendations. SaaS e-commerce platforms serve as the bedrock for enhancing the overall customer experience and driving success in the digital marketplace.

About the Author

Sadaf is a digital marketeer with a knack for riding the wild waves of trends and technologies. When she’s not brainstorming ingenious campaigns, you’ll find her scribbling away in her journal or gallivanting across the country

FOUND THIS USEFUL? SHARE WITH

Related Articles

Beyond the Bolt-On: Why Enterprises Need AI-Native Security for an Autonomous Future
AI-Optimized Streaming: Delivering Better Quality at Lower Cost
The Automation Gap: Why Network Orchestration Now Determines Enterprise Velocity
Beyond the Perimeter: Why Zero Trust is the New Growth Architecture
From Monolith to Modular: Why Composable Architecture Is the Safer Path for PBM Modernization
The Cloud-First Imperative: Why PBM Trust and Compliance Now Depend on It
Veltris
Company
  • About Us
  • Leadership
  • Partnerships
  • Pressroom
  • Events
  • CSR
  • Life at Veltris
  • Careers
  • Contact Us
Services
  • AI-Augmented Engineering
  • AI Readiness & Data Modernization
  • AI Monetization
  • Product Lifecycle & Managed Services
Industries
  • Healthcare
  • Technology
  • Industrials
Insights
  • Blogs
  • Whitepapers
  • AI Guides and Innovations
  • Client Case Studies
Copyright © 2026 Veltris. All Rights Reserved.
Cookie Policy | Disclaimer | Privacy Policy | Sitemap
Veltris
  • About Us
  • Leadership
  • Pressroom
  • Events
  • CSR
  • Life at Veltris
  • Careers
  • Contact Us
  • AI-Augmented Engineering
  • AI Readiness & Data Modernization
  • AI Monetization
  • Product Lifecycle & Managed Services
  • Healthcare
  • Technology
  • Industrials
  • Blogs
  • Whitepapers
  • AI Guides and Innovations
  • Client Case Studies
Copyright © 2026 Veltris. All Rights Reserved.
Cookie Policy | Disclaimer | Privacy Policy | Sitemap