The e-commerce market has emerged as the new way business is transacted, whether in retail, or B2B, locally or globally. The scenario is that the internet is a global marketplace providing platform to every single retailer a national, if not a global presence. The e-commerce market place has become such a vital part of the economy that it is really very hard to point out that from where the e-commerce begins and the old-world economy ends.

eCommerce market has registered a stupendous growth rate in India (17 billion to over a 100 billion dollars by 2020 as per data projections made by (Pricewaterhouse Coopers). While domestic e-Tailers like Snapdeal, Flipkart have garnered multi-million-dollar investments, foreign counterparts like Amazon are betting on India as their # 1 growth engine in terms of market growth and potential, having invested more than 7 billion dollars from internal resources.

  • Rationalizing CPA by strategically optimizing digital marketing and offline marketing initiatives
  • Managing customer expectations on entire order fulfilment process
  • Optimizing supply chain in Tier-III cities (these locations have very high instances of COD)
  • Maintaining data integrity across the entire ecosystem
  • Scaling at minimal cost and maximum margins as per market requirements and future projections

In years to come, core competency in specific product categories would become key, failing which, e-Tailers are more likely to bleed than remain buoyant. The current boom is a super bubble that can burst with the law of diminishing returns pin, which is bound to apply more as well as faster, to such a hyper-competitive landscape. Managing and retaining your customer while maintaining market share will become CSFs to an extremity.

  • Product and Market Strategy:
    • Business and Category Strategy Definition
    • Website Design Integration
    • Operating Model Design
    • Customer Segmentation
  • Customer-Digital Experience:
    • User Experience Design (a.k.a. UX / UXD)
    • Advanced eCommerce Technology
    • Connected Experience
    • Aggressive Feedback Management
    • Digital Marketing and Deals
    • Big Data Analytics
    • Operations Digitalization
  • Payment and Transactions:
    • Cyber - Transaction integrity services (framework development)
  • Supply Chain Digitalization:
    • Network Model Design
    • Partnership Strategy
    • Disruptive Delivery
    • Warehouse Excellence Delivery Process Improvement
    • Reverse Logistics

Digital Marketing

If you are taking your shop online, marketing needs to be done online. Digital marketing for e-commerce drives brand awareness, leads and direct conversion. The measurability of digital marketing also helps e-commerce businesses to keep track of every user activity and use that data to create an effective marketing strategy.

Even E-commerce giants like Amazon and flipkart are using digital marketing to gain the major market share. We help our E-commerce client with strategy planning, digital advertisement and social media marketing to get more leads and conversions.

Web Solution

When it comes to e-commerce web development plays a major role because you are not just giving information through a website but also providing a shopping experience to your user. We help our e-commerce clients to make highly scalable and user friendly websites.

Internet of things

Amazon's Alexa knows your personal shopping preferences and smart Refrigerator can tell you when you are running out of milk. The IoT in e-commerce is not only for customer experience but also for helping manufacturers to maintain a supply chain without human intervention.

App Development

Online shopping is not just limited to web and mobile users are way more than laptop users. With E-commerce Mobile app online shopping becomes convenient for users. We develop e-commerce apps with integrated marketing features like push notifications, wishlist reminders and retargeting options.

Artificial intelligence

Artificial intelligence in e-commerce is used to reroutes, change delivery arrival times, and make other adjustments for accuracy and efficiency. For better customer experience AI uses a combination of Collaborative Filtering and Next-in-Sequence models to make predictions about the customer's next purchase.

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