This week’s case study will review the Pricing Strategy concepts you learned and practiced last week.Calculating sell-thru  allows businesses and managers to determine the percentage of units sold compared to the total amount originally on hand. Calculating penetration of product styles, product types, vendors, etc., allows managers to identify and reorder best sellers, and to take action to address slow-selling, less-profitable products. What ultimately influences results are the actions that businesses take based on analysis of the information gathered from the data and the thought processes used to make decisions.InstructionsUse the information below to answer the questions that follow:-The buyer ordered 1,200 units of sweaters and planned for a 35% sell-thru in the first month-All 1,200 units were received in the stores 4 weeks ago-The current inventory report shows 400 units of the sweater on-hand-Of the 1,200 units, the sell-thru on cardigans was the highest, and the stores in colder climates sold more sweaters during the first four weeks-The buyer purchased the sweaters from several different vendors; total sales in the sweater category for the month were $48,000Vendor A – $19,650Vendor B – $18,900Vendor C – $9,450In 250-350 words, answer the following in your discussion post:1. Calculate the sell-thru of the sweater and show your work2. Calculate the penetration rate for each of the vendors3. Analyze the above scenario to explain the following:How does the sell-thru compare to the buyer’s plan?What can the sell-thru data tell the buyer?What can the penetration rate tell the buyer?Why is it important to know which stores are trending up/down in sales?How should the buyer respond to the sell-thru and penetration data?What other information would the buyer want to know in order to make wise business decisions in responding to this sales report?