Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
IoT Data Analytics in Retail: Framework and Implementation
1. 1
J. GRABIS , K. JEGOROVA, K. PINKA
IoT DATA ANALYTICS IN
RETAIL: FRAMEWORK
AND IMPLEMENTATION
Institute of Information Technology, Riga Technical University, Latvia
2. 22
Customer experience has many dimensions
– Sensorial, affective, physical, social and cognitive
Modern computing provide opportunities for measuring
and improving customer experience
– IoT
– Data analytics
Limited understanding of relations between customer
experience and environmental conditions
Deployment of IoT devices and supporting data
analytical solutions requires sophisticated
technological platforms
– Continuous operations and enactment of analytical results
Background
3. 33
To empirically test relations between
environmental conditions in a retail store
and customer behaviour
To outline a technological solution for
deploying IoT data analytics
Objective
6. 66
Data are provided by a large retail chain with more than 2000 stores
and 30.000 employees
– 60 000 purchase lines or registered transactions
– Over 150 000 measurements are available for each sensor
The company aims to understand the effect of lighting conditions,
temperature and humidity on the customer basket size
All customer transactions are recorded and the following sales
performance measurements are considered in this investigation:
– Number of items (N) – number of different products purchased by a
customer in one store visit (i.e., number of items in shopping basket);
– Weight of purchases (W) – weight of all products purchased by a
customer in one store visit;
– Quantity of items (Q) – quantity of items all products (summed across all
types of products) purchased by a customer in one store visit.
Case Study
7. 77
Impact of the Hour of the Day
Sales
by hour
Air
quality
by hour
Lighting
by hour
10. 1010
If the air quality
deteriorates
beyond the lower
boundary of the
air quality 5th
quintile
Then improve by
powering AC
To avoid
decreasing sales
Implementation
Stream processing (SP)
Evaluation of environmental conditions (EEC)
Persistent
storage
Building management system (BMS)
Other
data
sources
K1 KM...
P1 PL...
Adaptation engine (AE)
R1 RN...
Archiving
jobs
Evaluation
jobs
Triggering
jobs
8
2
1
3,5
4 6 7
910
IoT
devices
POS data
11. 1111
Air quality changes and the
number of items according to
time
0
20
40
60
80
100
120
140
0
50
100
150
200
250
300
350
400
7500 7550 7600 7650 7700 7750
Numberofitems
airquality
Time,minutes
air (MA)
air treshold
Items
12. 1212
Sales performance is significantly affected by
the air quality and humidity
Temperature has a non-linear impact on the
customer behaviour
IoT platform supports enactment of the
decisions, dynamic adjustment of data
analytical models as well as integration of
real-time point-of-sales data for dynamic
pricing and personalized recommendations
Conclusion