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Case Studies
How Geoblink helped solve Danone's 70-year-old challenge and boost sales by 10% across the convenience channel network
Overview
How Geoblink helped solve Danone's 70-year-old challenge and boost sales by 10% across the convenience channel networkMyTraffic |
Analytics & Modeling - Big Data Analytics Analytics & Modeling - Real Time Analytics | |
Consumer Goods | |
Business Operation Sales & Marketing | |
Inventory Management Supply Chain Visibility | |
Data Science Services | |
Operational Impact
Danone was able to put a chaotic and disorganised distribution network in order, classifying the points of sale into three groups: urban, rural and impulse. | |
They designed three pictures of success that took into account the particularities of each POS model, defining the key actions associated with success for each. | |
The solution was initially received with scepticism, but the positive results didn’t take long to appear. | |
Quantitative Benefit
10% increase in convenience channel sales | |
Organised 13,000 points of sale into three groups | |