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Black Thursday Iteration 4 - Merchant Analytics
Our operations team is asking for better data about our merchants, and have asked for a more advanced set of methods that return some different analytics.
Assuming we have a SalesEngine instance called sales_engine, let’s initialize a SalesAnalyst like this:
sales_analyst = sales_engine.analyst
1. Find out the total revenue for a given date:
sales_analyst.total_revenue_by_date(date) #=> $$
Note: When calculating revenue the unit_price listed within invoice_items should be used. The invoice_item.unit_price represents the final sale price of an item after sales, discounts or other intermediary price changes.
2. Find the top x performing merchants in terms of revenue:
sales_analyst.top_revenue_earners(x) #=> [merchant, merchant, merchant, merchant, merchant]
If no number is given for top_revenue_earners, it takes the top 20 merchants by default:
sales_analyst.top_revenue_earners #=> [merchant * 20]
3. Which merchants have pending invoices:
sales_analyst.merchants_with_pending_invoices #=> [merchant, merchant, merchant]
Note: an invoice is considered pending if none of its transactions are successful.
4. Which merchants offer only one item:
sales_analyst.merchants_with_only_one_item #=> [merchant, merchant, merchant]
5. Merchants that only sell one item by the month they registered (merchant.created_at):
sales_analyst.merchants_with_only_one_item_registered_in_month("Month name") #=> [merchant, merchant, merchant]
6. Find the total revenue for a single merchant:
sales_analyst.revenue_by_merchant(merchant_id) #=> $
The following two methods are not covered by the spec harness. As a group, write a blog post of approximately 500 words as to how these methods work.
7 & 8. Which item sold most in terms of quantity and revenue:
sales_analyst.most_sold_item_for_merchant(merchant_id) #=> [item] (in terms of quantity sold) or, if there is a tie, [item, item, item]
sales_analyst.best_item_for_merchant(merchant_id) #=> item (in terms of revenue generated)
