Hi colleague researchers!
I've been preparing research on Digital twin and machine learning adoption at retail/wholesale companies. But it appears that ML is applicable in a limited number of operations, in reality. Such as demand forecasting in category management. In your experience what is the situation in the industry?
Geography of my data source is Central Asia and Former Soviet Union countries.
I am also open for joint research in this field.
Regards,
Askar
Hi Askar, this is a very relevant area to study. I am reacting to the subject with a perspective from India, where 85% of retail trade is still unorganized and the wholesale channel is the last priority for the FMCG or FMCD players for technology adoption.
The leverage of ML and AI is extremely limited in the space at the moment, the unorganized retail facing issues of multiple people and applications to deal with, lack of attitude due to low education levels and non willingness to share data and information from POS.
On the other hand in the organized retail, which is more dependent on Distributor channel or the manufacturer direct supplied channel, the ML is being used to establish visibility and planogram compliances in side the stores by brands. Though this is still in pilot stages in the country, this could be one potential opportunity for ML and AI to exist in the retail channel.
I firmly believe through my experience in servicing clients in retail space that the channel that can leverage ML and AI most will be the unorganized retail channel, which constitutes of the eco-system of Manufacturer - Distributor- Stockist - Wholesaler & Retailers.
Hope this helps.
All the best / Hitesh
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