Nutrient Based Clustering of Food Products(B&C Fast food chain)

1. By
Ansup Babu.
Sadaseeb Choudhury.

2. Agenda
 Objective
 K-means clustering implementation
 Emergent Clusters and properties
 Business advantage for B&C fast-food chain.
 Strategy: “Healthier” segments
 Appendix: Rapid-miner implementation

3. Analytics on “junk” food !!!!
 B&C fast-food chain is redefining its position in the market from
a “junk-food bar” to a Pro-health restaurant using Analytics.
 B&C is losing it’s market share to SW as customers feel it’s
unhealthy and contains fat and unwanted calories.
Innovative Approach
 B&C have decided to keep their menu unchanged and be a
seller of “Health & Taste”.
 It engaged a team of nutritionist and food experts to analyse it’s
product’s nutrients/mg.
 Innovative couponing and marketing strategy.
Dataset: http://www.uni-koeln.de/themen/statistik/data/cluster

4. Data set and Algorithm
Attributes
 the nutrients/mg value of
each item is analysed in
the table.
 Calories in k-cal
 Fat content.
 protein in grams.
 Calcium in mg.
 Iron(mg)
 K-Means clustering
 Metric-Euclidean Distance

6. Strategy#1:Retain Loyal customers
Customer data
i.BMI
ii. Life-style chronic
problems
iii. Transaction history
iv. Market Surveys
v Innovative meal
plans
vi. Coupons
vii. Energy Spending
Viii . Dietary
preferences
Data driven
health
initiatives
Food Clusters
Increased
market
share
By health
advantage.

7. Strategy#2: Public relations and
compliance
 Identify scientific gaps through the collation and review of food and nutrient
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consumption data.
Utilization and evaluation of dietary guidance that include Food Based Dietary
Guidelines (FBDG)
Behaviour modification approaches for public health improvement.
Health intervention programs for Loyal customers.
Develop further products by deep dive analytics with customer preferences and
Nutri-genomics for teenagers and Elderly.
Food Fortification Task Force
New Food Technologies Task Force

8. Rapid Miner workflow

12. Cluster Analysis

14. THANK YOU