Claims:We claim:
1) The system and method for marketing of seasonal demand by using big data technology is comprising of the contents such as;
a. Any high definition computing device;
b. Any open-source framework like Hadoop for data analysis which stored data on big data; and
c. The web application of improving end-to-ed customer experience
2) The system claimed in claim 1 wherein, system would improve in the contact center of customer.
3) The system claimed in claim1 wherein, system would understand customer sentiments to connect on an emotional level.
4) The system claimed in claim 1 wherein, system would streamline services and save customers time.
5) The system claimed in claim 1 wherein, system would improve communications.
6) The system claimed in claim 1 wherein, system would enhance targeted marketing practices.
, Description:FIELD OF INVENTION
The present invention discloses the system and method for improving end-to-end customer experience by using big data technology. The invention is related to retail marketing, which are now well developed due to upcoming technologies. Big data is one of the best technologies which can used for retail sector.
BACKGROUND OF INVENTION
In commerce, customer experience is the product of an interaction between an organization and a customer over the duration of their relationship.
Customer experience, also known as CX, is your customers' holistic perception of their experience with your business or brand. CX is the result of every interaction a customer has with your business, from navigating the website to talking to customer service and receiving the product/service they bought from you.
End to end customer experience is the set of interactions between customers and an organization throughout the duration of their relationship. Usually, it encompasses three elements: The customer's points of contact with the brand (moments of truth) The Customer Journey.
End-to-end customer experience surely increase the satisfaction of customer while shopping and it also gives the retailer full idea of customer choice and preferences. It also makes an emotional relationship between retailer and customer which make customer loyal to retailer.
Currently, there is no proper system for end-to-end customer experience. Retailer try to collect data related to customer manually and tries to give solution to customer as per their preferences.
The present invention solves the above problem. The system and method for improving end-to-end customer experience by using big data technology. Using big data to better understand how customers feel is therefore critical to connecting with them on an emotional level and winning their loyalty. Data sources may include formal surveys, call transcripts, social media comments, and virtually any other exchange between a brand and a customer.
Big Data Technology can be defined as a Software-Utility that is designed to Analyse, Process and Extract the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with.
OBJECTS OF THE INVENTION
The main object of the invention is that, the system and method for improving end-to-end customer experience by using big data technology.
Another object of the invention is that, the system would improve in the contact center of customer.
Another object of the invention is that, the system would understand customer sentiments to connect on an emotional level.
Another object of the invention is that, the system would streamline services and save customers time.
Another object of the invention is that, the system would improve communications.
Other object of the invention is that, the system would enhance targeted marketing practices.
SUMMARY OF THE INVENTION
The present invention discloses the system and method for improving end-to-end customer experience by using big data technology. The web application is created for invention system. Big data technology analyses the information from various sources to get data of customer. By using big data retailer can better understand how customers feel is therefore critical to connecting with them on an emotional level winning their loyalty. Data sources may include formal surveys, call transcripts, social media comments, and virtually any other exchange between a brand and a customer.
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 improving end-to-end customer experience 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 collect data from various sources like internet, website and social media to know about customer. With the help of this data, invention application does the needful process and marketing strategy to improve end-to-end customer experience.
The key feature of big data is to analyse, understand and interpret it in order to give retailer a full a picture as possible about the end-to-end customer experience.
The system and method for improving end-to-end customer experience by using big data technology is comprising of the contents such as;
Any high definition computing device
Any open-source framework like Hadoop for data analysis which stored data on big data.
The web application of improving end-to-end customer experience
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 improving end-to-end customer experience by using big data technology is comprising of the following steps such as;
Step 1) The web application for improving end-to-end customer experience is created
Step 2) Marketing team member open the web application
Step 3) The web application is getting data related to customer provided by big data
Step 4) Marketing team member can see the data related to customer
Step 5) Marketing team member do needful actions to improve the end-to-end customer experience of shopping
Here, the role of big data technology is as of;
Big data technology analyses the information from various sources to get data of customer. By using big data retailer can better understand how customers feel is therefore critical to connecting with them on an emotional level winning their loyalty. Data sources may include formal surveys, call transcripts, social media comments, and virtually any other exchange between a brand and a customer.
Big data have some advantages for the invented system, such as;
Improvement in the contact center – Big data analyse the information related to customer sourced by various media. Understanding such information can help to improve contact center practices and the overall customer experience.
Understand customer sentiments to connect on an emotional level - Customer emotions play an essential role in their relationships with brands. Using big data to better understand how customers feel is therefore critical to connecting with them on an emotional level and winning their loyalty. Data sources may include formal surveys, call transcripts, social media comments, and virtually any other exchange between a brand and a customer. Brands should analyse both quantitative and qualitative feedback to make improvements to their service, such as using softer language, more emotionally charged marketing campaigns, and more personalized service.
Streamline service and save customers time – Whenever possible, brands should do their best to streamline processes and save customers time.
Improve communications – Customer feedback and satisfaction scores may be used to improve communications among employees as well as with customers.
Enhance targeted marketing practices – Big data is also critical to implementing targeted marketing practices. Geolocation data may also give brands opportunities to better target customers near brick and mortar stores or during the in-store shopping experience. Retailers may use such information to share information regarding sales events and extra discounts that may be applied in-store.