I outline how a retailer can kick‑start a machine‑learning (ML) initiative, focusing on the data categories needed, low‑cost acquisition methods, and the typical concerns about legacy system migration and budgeting.
These are some typical questions every retailer has when they want to switch from legacy systems to modern ones.
Here is a quick read on how retails can collect data in the most cost-effective ways. http://ow.ly/pe1K50EXt1j
Read on Medium - http://ow.ly/wd6r50EXt1f
I decided to rely on the two curated external resources above rather than generic ML tutorials, emphasizing a cost‑effective, retailer‑specific data‑collection roadmap.