Redefining the local offline shopping experience using Generative AI
Overview
We all are consumers of groceries items including vegetables, food grains & pulses. We buy these items on a monthly, weekly or fortnightly basis depending upon our priority & plan. People opt online or offline medium to buy their grocery items. During covid-19, many people switched to online platforms & but due substantial price margin and sometime quality issues, many people again switched back to their local grocery shop in their neighborhood.?
Nowadays grocery shops are being replaced (renamed) by departmental stores having all items of the family's regular needs. There will always be a race between offline & online shopping methods, at one point of time it looked like online monsters will be able to kill the offline players and they will have the market monopoly in the retail economy. For the interest of consumers, I feel offline players are equally important to have monopolistics check & balance on online player. Quality wise both are at par, do not create great differentiator among consumers.?
In-fact two factors: price-margin and human-connect with local shops go in favor of offline players. I always wanted to see these offline players on a common aggregator digital platform ensuring no-loss & no-fear to their business, but issues like fear of business overhead, trust deficiency for losing customers, fear of being controlled by aggregator platforms are big blockers to digital their business.?
Anyway sometimes things take their natural pace to reach its destination. My focus is to explain how [Generative AI] is redefining the local offline shopping experience, undoubtedly the same approach would be applicable in online shopping experience. Let’s understand the customer journey involved while doing the local offline shopping, as follows :
Offline shopping steps as per today’s perspective
Disruption by Generative AI
Considering 7 steps as explained in earlier sections, let’s understand how Generative AI will redefine these 7 steps.
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About author
Profile : Rajesh Verma - Brief profile
Source : link for this article here
Series : S2 (Artificial Intelligence)
Episode : [S2-AIGAI] Redefining the local offline shopping experience using Generative AI
Author’s approach : Rajesh wants to share his learning & experience gained throughout his career from various sources. Author started the series on architectural topics including AI/ML & GAI topics and this article is one of the episodes in that attempt. Author feels that lots of information is available on various forums, but scattered here & there. Episodes in this series will be designed for most of the relevant topics in architecture-&-design, published gradually and organized in logical sequence. Principally episodes will have linkage with other episodes, so that readers can have proper connection among the topics and would be able to correlate with ongoing activities in their software life. Topics for example will be related to functional architecture, integration architecture, deployment architecture, microscopic view of mostly architecture-building-blocks (ABBs), security guidelines & approach to comply, performance KPIs & engineering, git branch & DevOps enabled automation strategy, NFR aspects (e.g. scalability, high-availability, stability, resiliency, etc.), commonly used architecture styles & design patterns, cloudification approaches, multi-tenancy approach, data migration, channel-cutover & rollout strategy, process standardization & simplification, greenfield rollout & brownfield transformation journeys, etc.
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