Please look at the table below and answer the following questions.

Key metrics $(2024$ Forecasts$)$ A B C D E

# of annual active shoppers $($m$)526142927$

# of monthly average active shoppers $($m$)2\mathrm{.}5123\mathrm{.}51814$

Orders per active shopper $($annual$)1\mathrm{.}518333860$

Average unit per order $1\mathrm{.}521034$

Average unit price $($TL$)5400900180960270$

$\%$ of returned orders $5\mathrm{.}0\%4\mathrm{.}5\%1\mathrm{.}2\%9\mathrm{.}5\%0\mathrm{.}2\%$

$\%$ of sales from international platforms $15\%0\%3\%2\%1\%$

a$)$ Which one do you think can be Trendyol and why? Please consider all given metrics

b$)$ Which company do you think has the most net annual revenue? Why?

c$)$ Which KPIs do you think are valuable to determine whether a company is concentrated on textiles or electronics? Why?

d$)$ How can an e$-$commerce company recover the ratio of returns?

e$)$ Which company do you think has the most loyal customers? Why?

f$)$ What could be main action points to increase order per active shopper?

g$)$ How can e$-$commerce companies improve their NPS$($Net Promoter Score$)?$Please look at the table below and answer the following questions.

$\backslash$table$[[$Key metrics $(2024$ Forecasts$),$A$,$B$,$C$,$D$,$E$],[$# of annual active shoppers $($m$),5,26,14,29,27],[$# of monthly average active shoppers $($m$),2\mathrm{.}5,12,3\mathrm{.}5,18,14],[$Orders per active shopper $($annual$),1\mathrm{.}5,18,33,38,60],[$Average unit per order,$1\mathrm{.}5,2,10,3,4],[$Average unit price $($TL$),5400,900,180,960,270],[\%$ of returned orders,$5\mathrm{.}0\%,4\mathrm{.}5\%,1\mathrm{.}2\%,9\mathrm{.}5\%,0\mathrm{.}2\%$

Question $2$:

Please look at the table below and answer the following questions.

$\backslash$table$[[$Key metrics $(2024$ Forecasts$),$A$,$B$,$C$,$D$,$E$],[$# of annual active shoppers $(m),5,26,14,29,27],[$# of monthly average active shoppers $($m$),2\mathrm{.}5,12,3\mathrm{.}5,18,14],[$Orders per active shopper $($annual$),1\mathrm{.}5,18,33,38,60],[$Average unit per order,$1\mathrm{.}5,2,10,3,4],[$Average unit price $($TL$),5400,900,180,960,270],[\%$ of returned orders,$5\mathrm{.}0\%,4\mathrm{.}5\%,1\mathrm{.}2\%,9\mathrm{.}5\%,0\mathrm{.}2\%$