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#aiagent

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When 30% of shoppers delegate decisions to brand-agnostic algorithms, the #retailer no longer owns the relationship, the #AIagent does.

linkedin.com/posts/shishs_the-

www.linkedin.comBain & Company highlights six big changes coming to #retail, like #AIagents doing the #shopping for your customers. | ShiSh S.Bain & Company highlights six big changes coming to #retail, like #AIagents doing the #shopping for your customers. #Retailers that don’t adapt fast could be left behind: https://lnkd.in/gqE39htW For me, the point had me thinking: "Customers will cheat on you with AI shopping agents”. It flips the power dynamic. If 20-30 % of #shoppers delegate decisions to brand-agnostic #AI agents, the #retailer no longer owns the relationship; the algorithm does. Winning shelf space in an agent’s recommendation stack becomes as critical as winning it in a physical aisle. It redefines merchandising and marketing. Product data, pricing, and availability must be structured for machine readability and continuous optimization, think “search-engine optimization for agents.” Retailers that don’t adapt risk invisible products and eroding loyalty. Heena Purohit, our in-house #AI leader at Microsoft for Startups, described this to me as "AEO" or AI Engine Optimization (& I love that term). Our Pegasus partner Writesonic, help #retailers stay ahead by creating AI-optimized content and hyper-local campaigns that appeal to both human shoppers and AI shopping agents. (https://writesonic.com/) Thanks Dan Marc for pointing me to this interesting write-up. Footprints AI can help #retailers stay competitive in an #AI-driven future by turning anonymous shopper behavior into predictive, agent-friendly insights, crucial for winning in a world where customer decisions are delegated to algorithms. #retail #retailtech #retailmedia #AI #startups

Part2: #dailyreport #emacs #ai #llm #aiagent #org #org-ai
dependencies and in the core? (add comments)
- Which naming conventions have been broken? (write todo)
- How files link to each other?
- How to reduce coupling, remove dependencies by making
hierarchy of dependencies or making common files or
passing parameters to functions?
- Which objects are interface and which are internal in
files?
- Call-trace for main interface object-functions in every
file?
- Main parameters for main interface objects-functions of
dependencies.
- Write tests for core dependency objects.
- Write test for dependent core.

Part1: #dailyreport #emacs #ai #llm #aiagent #org #org-ai
#llmapi #openai #chatgpt
I am switching from web inteface of LLMs to API,
because popular ones like google and copilot is not
stable for programming prompts.

I found Emacs package and do refactoring. I outline for
myself refactoring steps for future AI automation:
- Where is a core, how big it is, how hard to detect
boundaries?
- Main call trace?
- What dependencies is essential and what is optional?
- What code in the core is essential and what is optional?
- Where actual location of each object in code of