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- We get historical data and do extensive analysis for 4 to 6 months.
- The client chooses a set of departments or categories which are representative of the business.
- We create two buckets of stores that are similar in revenue, sales, margins, and inventory. Client chooses the product categories so the revenue in each group of stores during the pilot is expected to be around $10 Million dollars. It provides enough significance to rule out the impact of other business changes.
- The client picks one group of stores (based on the past data) and designates them as Control set of stores and the other as Test. Control stores continue without any changes and in the Test stores Apex starts implementing optimal decisions
- Every Sunday we get weekly data and by Monday or Tuesday we download our decisions to be implemented in Test stores.
- After the end of one life cycle, the impact of Optimal Decisions can be in measured in the client financials.
The benefits will exceed or meet the guarantee we provide before the start of the pilot. For the Markdown it will be at least 4% on the top line or 8% for the bottom line. We guarantee the impact even against our competitors in a head to head pilot.
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