A sample idea for connected retail:
Within the etiquette of robots.txt constraints crawl the link graph as determined by the sitemap in order to formulate a custom ontology which could then be linked to DBPedia and GoodRelations schema and various search engines (especially Google). The ontology is then mapreduced against any products and services available on Amazon. Do this across all UK and US retailers based on consumable context of products and services. However, this may grow regionally. Such ontological context can then be derived as schema.org markup to enrich searchability whether that be in context of chatbots, web search, mobile, contextual advertising, and even in store promotions.
Example of Supermarkets:
Example of Departmental Stores:
Individual Retail Brands
And, various consumable and service contexts ranging from banking to clothing/apparels, and electronics. Essentially, many of the similar domains as Amazon categories.
Benefits of such things incorporate:
The services are supposed to be free and funded by ad revenue to try remain objective in the searchability with no preferential affiliations. Possibly, even with percentage on targeted conversion.
Such things are the natural steps towards Web 3.0 and Internet of Things where everything is available. Retailers are facing tough competition from Amazon and attempt is to try to make all retailers essentially more available, targetable, and reachable to customers as a basic enrichment to the customer service experience.
Alternatively, such approaches are currently being used for:
This is in context to connected retailers especially where the market is so fiercely competitive it makes more sense.
Example of Supermarkets:
- Sainsburys
- Morrisons
- Asda
- Lidl
- Iceland
- Aldi
- Tescos
- Walmart
- Marks and Spencer
- Whole Foods
- Farmer's Market
- Lowes
- Giant
- Safeway
- Vons
- Shoprite
- Meijer
- Costco
- Kroger
Example of Departmental Stores:
- Selfridges
- Harrods
- Macy's
- Bloomingdales
- Debenhams
- Harvey Nichols
- Fenwicks
- House of Fraser
- Fortnum and Mason
- Marks and Spencer
- Neiman Marcus
- Saks
- Kohls
- Sears
- Dillards
- Nordstrom
- JC Penny's
- Lord & Taylor
- Target
- KMart
- Walmart
- Marshalls
- John Lewis
Individual Retail Brands
And, various consumable and service contexts ranging from banking to clothing/apparels, and electronics. Essentially, many of the similar domains as Amazon categories.
Benefits of such things incorporate:
- Free and Open Source so any business can make their products and services more reachable and findable to target customers
- Free for customers to compare prices
- Free for customers to check for availability
- Free for customer recommendations
- Free for enriching localized ecommerce searching
- Free for enrichment of products and services for retailers
- Free for SPARQL queries
- All products and services essentially become resources in context of URI/URLs
- Free to check custom and focused chat bots for customers
- Free to leverage insights from customer behavior via machine learning.
- However, all data storage is decentralized so no real localized store for any personal information on customers and all competitive data is stored on retailer systems.
- Such services provide Linked Data services as a Web of Data one can do more NLP and Semantic Web to better understand customers as well as product pricing and sales
- They are also a way to make it easier for customers to find things on the web, and shop on the go. One can even target or identify customers who are not entering stores
- One can also find out clusters through network science about customers and which customers one should be targeting and in what way.
- This approach of resources turns queries into a connected linked data graph or knowledge graph
- Basic knowledge is already derived from DBPedia which understands what a retail is in context to a business and various other concepts and things.
- Also, it can be applied to keeping track of new releases, new fashions, new trends, and news in general on retail
- Postal Deliveries and shop at your convenience
- Semantic Product/Service and Collaborative Recommendations
- Semantic Sentiment Analysis on Customer Service Experience
- Semantic Intent Graph formulations
- Semantic Customer Understanding
The services are supposed to be free and funded by ad revenue to try remain objective in the searchability with no preferential affiliations. Possibly, even with percentage on targeted conversion.
Such things are the natural steps towards Web 3.0 and Internet of Things where everything is available. Retailers are facing tough competition from Amazon and attempt is to try to make all retailers essentially more available, targetable, and reachable to customers as a basic enrichment to the customer service experience.
Alternatively, such approaches are currently being used for:
- connected libraries
- connected research
- connected learning
- connected businesses
- connected social
- connected games
- connected entertainment
- connected interests
- connected travel
- connected news
- connected profiles
- connected utilities
- connected city
- connected publishing
- connected ads
- connected things
This is in context to connected retailers especially where the market is so fiercely competitive it makes more sense.
