In this article we will explore how you can use Sherpa AI to gain insights and turn it into faster action. We will break down the insights into timeframes from being on the pulse day-to-day to more strategic review use cases.
Daily (tactical, short-term pulse)
- What’s moving fastest, what’s lagging across product, look at sell through rates in units and dollars?
- Any urgent replenishment needs or risk of going out-of-stock?
- What are our best & worst sellers by size in "x"?
- Did a sale or promo drive expected lift in sales?
- Any unusual spikes in refunds that signal product or quality issues?
- What’s driving volume today in store vs online?
Weekly (trend & short-term decisions)
- Are we overstocked or understocked by weeks of cover across in categories or products?
- How are newly launched products performing?
- Are discounts clearing D and C class prducts?
- What is our gross margin by product/category after returns and discounts?
- Are certain sizes selling through faster?
- Which products are driving new customer acqusition?
- What products are driving returning customers?
Monthly (strategic, planning & buying decisions)
- What are our sell-through % by category/season/collection?
- Which products are most often in higher-value baskets?
- How much margin was given away to sell "x"?
- What insights should feed into next season’s buys (overbuys, missed buys, trend calls)?