About Event
The diagnosis of the FMCG industry reveals that it has attributes that can’t cope up without machine learning and predictive analytics in the future. Be it large number of sources of data that influence trends or huge volume of day-to-day transactions , traditional analytics will fail to do justice to this huge potential and hence machine learning would be best suited for this kind of analysis.
The diagnosis of the FMCG industry reveals that it has attributes that can’t cope up without machine learning and predictive analytics in the future. Be it large number of sources of data that influence trends or huge volume of day-to-day transactions , traditional analytics will fail to do justice to this huge potential and hence machine learning would be best suited for this kind of analysis.
Programs
- The enormous volumes included
- Access to great quality deals information
- Short timeframe of realistic usability
- Current anticipating systems are moderately off base
- Current showcasing systems are not as much as ideal
- Current assembling practices are not as much
- Current production network systems
- Shopper numbers are extensive
Schedules
- The enormous volumes included
- Access to great quality deals information
- Short timeframe of realistic usability
- Current anticipating systems are moderately off base
- Current showcasing systems are not as much as ideal
- Current assembling practices
- Current production network systems
- Shopper numbers are extensive
Some Heading
The diagnosis of the FMCG industry reveals that it has attributes that can’t cope up without machine learning and predictive analytics in the future. Be it large number of sources of data that influence trends or huge volume of day-to-day transactions , traditional analytics will fail to do justice to this huge potential and hence machine learning would be best suited for this kind of analysis.
