The last decade has fundamentally changed the face of retailing! The genesi
s has been increased customer fragmentation, enabling technologies such as
the internet and increased competition In this era of "hypercompetition," r
etailers need to have a better understanding of the performance of individu
al stores so they can more accurately plan their merchandise assortments an
d set more realistic merchandising goals. In this paper, we determine the p
erformance of retail outlets relative to the "best practice" set of outlets
and demonstrate the importance of accommodating both regional and assortme
nt differences. We empirically assess the performance of stores from a majo
r Fortune 500 multinational retailing chain. Multiple inputs and outputs fr
om 59 stores in three regions were used to determine sales goals for two di
fferent product categories. The results of three alternative models suggest
that incorporating both assortment and regional differences significantly
affects both performance and predicted sales volume estimates. Implications
and avenues for future research are discussed.