Date post: | 28-Jun-2015 |
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Consumer Behavior Assessment on
Let me explain myself with an example Customer Activity
I Manu Jain, is a customer of ABC Casino, Australia. I visit the Casino twice every month. Me being a vegetarian, I order Veg Salad every time. I am from Sydney Region and spends $500 in every visit. And my basic nationality is Indian ABC Casino apart from its great casino floor,
specializes in variety of cuisines. They cook many cuisines for vegetarian also.
Company Need Now what ABC wants is to take my data eg: Indian, Vegetarian, Sydney, $500,
Salad etc plus some common attributes like Indian likes spicy food, a drink with spicy food works the best plus some derived attributes like Manu is ordering same Salad every time despite of having other veg. options in menu.
It means either Manu is not a foodie or he is not aware of other options. With such information, the algorithm should finally suggest that for Manu,
spicy veg sandwich with a pint of beer is best suited. This insights will be used ABC Casino and offer a voucher to me for my next
visit. I hope I made myself clear of my requirements. Please help me how to design an
algo for such process.
Get feedback from Customer and provide choices to him along with loyalty schemes
Get feedback from Service provider based up on Pilot geographic campaign survey stats and offer choices along with loyalty schemes
CompanyService Provider
Community
Visits
Restaurants
Bars
Live Feedback & Process
Reports & Analytics
Survey Data
Suggest to Customer matching food choice options
Based on Live Scenario Step1
Customer enter into Restaurant He will make order some thing He will get the item against the
order He will Provide the Feedback
against ordered items as well as his food and beverage preferences
Data collected at Restaurant level and feed into the system
Step 2 The total data will be collected and
process by the central repository And match with his preferences
with available premium menu items Suggest him with a Next visit
loyalty offer and send to his mobile Number as well as his email ID dynamically
Based on Survey Campaign Scenario
Step1 Service Provider will create
Marketing Campaign based up on available menu items in the Organization and preference with reference to live scenarios and create the suggested options list against project order made by the customer
This platform will be allowed to Client and provide analytical reports to Client on every client visit and feedback model.
I want to write an algorithm to understand the consumer buying behavior.
I will be taking customer lifestyle and preference data and would be suggesting him the Food and Beverage that suits him.
I don't know how to proceed with it. I have the data but I don't know which
model to take to perform the analysis. Any help or lead in model would be very
helpful
Goal : Study of Consumer buying behavior for the industry “Food & Beverages”
Steps involved in this procedures is: Stage 1▪ Find out the eco system of Food & Beverages industry▪ Find out the Supply & Purchase life cycle of Food & Beverages▪ Identify the Key Stakeholder through out the Food & Beverages ecosystem▪ Create the Buyer personals depend up on Buyer segments means ( Whether
B2B, or B2C or B2G or G2P etc)▪ Map the those Buyer personas to the Food & Beverages Ecosystem
Stage 2▪ Create the buyer preferences based up on Food & Beverages business
operation classification▪ Create the Survey based up on Buyer preference means if you are selecting
Food means consider operation elements and food types and geographic mode.
▪ The same thing you need to do for Beverages also and it should meet your needs pertaining to their style,priorities,needs,age group, alternatives etc.
▪ Collect the results in those two areas Stage 3
▪ Assess the Results based on Statistical sampling▪ Find out the outputs and map to your live pilot scenarios▪ And this should map to live Enterprise app scenarios means
Problem,Solution,Value Benefit which you are giving
Feel free to reach out to me if you need any help to work with you as Pre Sale Consulting on Contract or full time basis.
On Site / Offshore Resource
Consulting