Claims:We claim:
1) The system and method for personalizing the in-store experience in retail by using big data technology is comprising of the contents such as;
a. Any high definition smart computing device
b. Any open-source framework like Hadoop for data analysis which stored data on big data; and
c. The web application of personalizing the in-store experience in retail
2) The system claimed in claim 1 wherein, retailers can collect right data of customer.
3) The system claimed in claim 1 wherein, retailers can take an omnichannel approach to data ecosystem.
4) The system claimed in claim 1 wherein, retailers can customize promotions, discounts and coupons.
5) The system claimed in claim 1 wherein, retailers can empower employees to make informed product recommendations.
, Description:FIELD OF INVENTION
The present invention discloses the system and method for personalizing the in-store experience with big data technology. The invention is related to retail sector, in particular personalizing in-store experience of customer. Big data is one of the best technologies which can be effectively used for retail sector.
BACKGROUND OF INVENTION
Personalization in retail is the process of using personal data to provide tailored experiences to shoppers of products in a retail environment. Every path to purchase is different, and, personalization in retail aims to serve each individual based on their needs and behaviours. Retail personalization is an effective way to drive foot traffic and boost in-store sales. It can be achieved with steps such as;
Collect any customer data which are missing like birthdays, anniversaries or other important milestones.
Take an omnichannel approach – synchronize online and offline data so customers get the same completely customized experience no matter where they shop.
Customize discounts, promotions, coupons and other offerings based on the data collected by retailer.
Empower employees to make recommendations and to collect any missing data to enable future personalized experiences.
Drive traffic to store with personalized SMS and email marketing.
Leverage in-store technology to personalize the shopping experience and augment employee’s efforts.
To analyse all these data and handling all these data is really huge task.
The present invention gives the solution for these huge data analyses.
The present invention discloses the system and method for personalizing in-store experience with big data technology. With big data technology, retailers can personalize in-store services for customers by using their purchase and browsing history to identify their needs and interests. This is especially useful to drive impulsive purchases.
Big data analysis represents the ability to make data-driven decisions, based on a summary of relevant, trusted data, often using visualization in the form of graphs, charts and other means. Supply chains typically generate massive amounts of data.
OBJECTS OF THE INVENTION
The main object of the invention is that, system and method for personalizing the in-store experience in retail by using big data technology.
Another object of the invention is that, retailers can collect right data of customer.
Another object of the invention is that, retailers can take an omnichannel approach to data ecosystem.
Another object of the invention is that, retailers can customize promotions, discounts and coupons.
Other object of the invention is that, retailers can empower employees to make informed product recommendations.
SUMMARY OF THE INVENTION
The present invention discloses the system and method for personalizing the in-store experience in retail by using big data technology. The web application for personalizing the in-store experience in retail is created. Big data technology analyses information related to customer and retailers can make some decision related to processes such as an omnichannel approach to data ecosystem, customize promotions, discounts and coupons and empower employees to make informed product recommendations.
BRIEF DESCRIPTION OF DRAWINGS
Fig 1 shows flowchart of the system and method for this invention.
DETAILED DESCRIPTION OF THE INVENTION
The present invention discloses the system and method for personalizing the in-store experience in retail by using big data technology.
Big data is the vast volume of structured or unstructured data that is readily available at collective fingertips. These large data sets are analysed to reveal previously unknown patterns and provide insights into businesses, human behaviour, and more. Big data analysis is used for everything from financial services, to gauging someone’s productivity, to even monitoring the weather.
The key feature of big data is to analyse, understand and interpret it in order to give user a full a picture as possible about the personalizing the in-store experience in retail.
The system and method for personalizing the in-store experience in retail by using big data technology is comprising of the contents such as;
Any high definition smart computing device
The web application of personalizing the in-store experience in retail
Any open-source framework like Hadoop for data analysis which stored data on big data
Big data consists of five stages such as-
Data sources- web and social media, machines, Sensing, IoT
Content format – structured, semi-structured, unstructured data
Data stores – document oriented, column oriented, graph database, key value
Data Staging – cleaning, transform and normalization
Data processing – Batch and real time
The system and method for personalizing the in-store experience in retail by using big data technology is comprising of the following steps such as;
Step 1) The web application for personalizing the in-store experience in retail is created
Step 2) User/retail team member open the web application
Step 3) Big data technology analyses information related to customer and processes which should be applicable in retail sector to work on personalizing the in-store experience
Step 4) User/retail team member can see the information provided by big data technology
Step 5) User/retail team member analyses the data and can make decision related to processes which should be applicable for personalizing the in-store experience
The role of big data technology in invention application is as follows –
Big data technology analyses information related to personal information of customer. Retailers can make some decision related to processes such as an omnichannel approach to data ecosystem, customize promotions, discounts and coupons and empower employees to make informed product recommendations.
Use of big data is looking promising in the retail field and it can become a standard in the future.
The invention application has some advantages for the invented system, such as;
Personalized engagements with precision targeting – Access to data such as email IDs and brand preferences enable a business to tailor marketing efforts to suit their customers tastes. Beyond the marketing messages themselves, knowing what a consumer prefers enables a marketer to speak in the same language as the computer making the marketing exchange conversational and more personalized.
Boost brand loyalty – It is much more economical for a business to retain an existing customer than to acquire a new one. Taking the efforts to personalize the retail experience for a customer increases the chances of an incidental customer becoming a returning customer who is eventually loyal to your business and your brand. The end goal of a marketer is customer retention. Personalization is a powerful way of building upon the relationship that a customer has with a business and it contributes towards retention efforts in the long run.
Increase digital mindshare with relevant content – Knowing a customer’s preferences enables a brand to create content that resonates with its customers. It could be content for email newsletters, or content for an ad copy or a simple post purchase ‘Thank you’ card.
Sync offline and online customer personas – Customers are more likely to associate with a brand and turn into returning customers if they interact with the brand both online and offline.
Make marketing more impactful – Currently world that’s densely populated with screens. In such a situation, there tends to be an information overload from brands who are trying to make their digital presence felt. When this is the case, brick and mortar retail stores have the advantages of getting the customer’s full and undivided attention in the store.