Prasad Tangirala
Results-driven leadership in digital transformation with 20+ years of experience
For speaking requests, reach out:
LinkedIn Profile
LinkedIn Profile
AI / Agentic
Learnings from using Claude code in our SDLC
Learnings from using Claude code in our SDLC
Conversational sales on Product Detail Pages
Conversational sales on Product Detail Pages
We can't spell Retail without AI. Everyone is in a race to launch generative AI (chat GPT or Bard) based experiences on their websites. Conn's Home Plus was one of the first e-commerce sites to launch an AI chat-driven product Q&A. We could pull this off with minimal investment and effort because of our early adoption of MACH.
Agentic Commerce Has a Conversion Problem
Agentic Commerce Has a Conversion Problem
(part 1 of 3) - What the OpenAI - Walmart Instant Checkout pullback actually tells us TL;DR: OpenAI’s Instant Checkout pullback is being explained in several ways. It is really a conversion problem - agents collapse the merchandising journey retail spent decades building to lift average order value.
Digital Strategy
Getting rapid results in MarTech while Industry is in a Perfect Storm
Getting rapid results in MarTech while Industry is in a Perfect Storm
Re-platforming to MACH without any negative business impact!
Re-platforming to MACH without any negative business impact!
You are considering re-platforming a major customer-facing website. But you are rightly concerned that it could negatively impact business during the cutover. How would you manage this?
Improving Speed to market in ecommerce
Improving Speed to market in ecommerce
Improving customer metrics
Improving customer metrics
The HBR issue (Jan-Feb 2020) spotlights “The Loyalty Economy” which makes for a great read for anyone interested in business growth. This three-article series eloquently illustrates ho…
Design thinking -or- Connected Strategy?
Design thinking -or- Connected Strategy?
Digital Transformation has literally been forced upon everyone by the pandemic. The biggest transfer of wealth is currently happening from the digitally-handicapped to the “Connected” businesses.
Digitizing core business or build new digital ventures? How about Digital micro-ventures that improve customer experiences?
Digitizing core business or build new digital ventures? How about Digital micro-ventures that improve customer experiences?
In this excellent post, Paul Willmott (ex-head of McKinsey Digital) points out "Bold Aspiration" and "High adaptability" are the core principles to strike the right balance between digitizing core business vs. building new digital ventures.
We need balance in the digital world
We need balance in the digital world
We are living in an increasingly polarized society. Every little aspect of our lives is dramatically magnified into a partisan, binary issue.
Digital strategy for multi-brand businesses
Digital strategy for multi-brand businesses
Analytics driven experience design
Analytics driven experience design
Building and Operating eCommerce Marketplace Platforms
Building and Operating eCommerce Marketplace Platforms
Executive Summary What are the key considerations in setting up an eCommerce market place like amazon.com? This article is intended for executives who are contemplating to set up a marketplace (MP) open to third-party sellers and service providers to offer products and services to conduct eCommerce.
Delivering software on-time in spite of hurdles (Part 1)
Delivering software on-time in spite of hurdles (Part 1)
Get Stuff Done (GSD) A key trait, — something that I always look for while hiring my team — is the ability to Get Stuff Done. I had been brought in to several rescue efforts where key commitments g…
US Patent on representing knowledge in near natural language- conducive for eXplainable AI
US Patent on representing knowledge in near natural language- conducive for eXplainable AI
A near natural language format is used to codify knowledge (including information, programs, rules, and procedures). The codified knowledge is stored in knowledge snippet files according to a nomenclature in which each file has a name relating to a particular interrogatory and the type of the interrogatory (e.g., having a file extension of: “.what”, “.how”, “.where”, “.which”, “.when”, “.who”, or “.why”). The content of each of the knowledge snippet files comprises an answer to the interrogatory. Language systems and methods, including a run-time environment to process or execute the knowledge, are provided to use the knowledge so represented. The knowledge may also be presented in many different perspectives or views.
Prasad Tangirala Email
Prasad Tangirala Email
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