This presentation is focusing two real life use cases - the waste reduction in a chain of pastry and cake stores, where the analytical solution achieved 71% waste drop, as well as the increase in the efficiency of a sampling campaign conducted by The Coca Cola Company where the reach of target audience was improved by more than 20%.

1. - 71% + 20%

2. The big treasure in the small chest:
How data helps in decision making

3. a4everyone.com 3
DEMOCRATISATION OF DATA
ANALYTICS
Providing
affordable, easy to
understand and use
analytical solutions
is not only possible
but the future of our
industry
Our team has 75+
years cumulative
experience in data
analytics

4. Industry: Pastry and cakes retail and
production
Size: 30 + retail locations
Revenue: € 9M (2016)
Cakes = Limited shelf life
4a4everyone.com
NEDELYA
Business Specifics

5. Nedelya wanted to know how
many cakes and pastries would
sell in the future.
Nedelya needed to open new
locations fast and easy.
5a4everyone.com
NEDELYA
Business Goals

6. Connection with POS
Data analysis & modeling
Correlation hypothesis testing and
validating
INSIGHTS delivery
6a4everyone.com
NEDELYA
Approach

7. A tool capable
of forecasting
future product
sales on a daily
basis
7a4everyone.com
NEDELYA
Solution

8. Waste: 71% decrease
More efficient store managers
Precise sales forecasting tool
Easy opening of new stores
8a4everyone.com
NEDELYA
Results

9. “A4E helped us to turn the raw data sets into valuable
information, which helped us to make the right business
decisions. We’d highly recommend their services to any
business in need to master the art of the numbers“
Zdravko Mintchev, Nedelya CEO
9a4everyone.com
NEDELYA
Feedback

10. New product pack launch
Focus on 2/3 member house holds
Sampling campaign visiting families for dinner and
giving away the new product pack
10a4everyone.com
Coca-Cola
Business Specifics

11. Geo-targeting for more effective sampling campaign
Logistics support
Survey quality
11a4everyone.com
Coca-Cola
Business Goals

12. Previous sampling campaign.
Demographic data.
Property values within residential districts.
Age distribution per district, etc.
12a4everyone.com
Coca-Cola
Approach and Data Sets

13. Analytical model evaluating the likeliness to locate a prospective member from the target
group within a particular residential district.
The model assessed, ranked and recommended the most feasible residential districts in
which targeted marketing campaign should be run.
13a4everyone.com
Coca-Cola
Solution

14. “A4E team was very proactive in finding the proper efficiency boosting
solution and displayed extremely high level of work performance. They
were full with alternative approaches in reaching the project objectives.
Our expectations for valuable ideas and proactive work were definitely
exceeded.
Stoyan Ivanov, Coca-Cola Franchise Country Manager
BU/HR/BA/SI
14a4everyone.com
Coca-Cola
Feedback

16. ANY QUESTIONS?
Contact us at:
www.a4everyone.com
office@a4everyone.com
+359 (2) 4411 243
a4everyone.com 16
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