Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Demand forecasting for companies with many branches, low sales numbers
  per product, and non-recurring orderings   We propose the new Top-Dog-Index to quantify the historic deviation of the
supply data of many small branches for a commodity group from sales data. On
the one hand, the common parametric assumptions on the customer demand
distribution in the literature could not at all be supported in our real-world
data set. On the other hand, a reasonably-looking non-parametric approach to
estimate the demand distribution for the different branches directly from the
sales distribution could only provide us with statistically weak and unreliable
estimates for the future demand. Based on real-world sales data from our
industry partner we provide evidence that our Top-Dog-Index is statistically
robust. Using the Top-Dog-Index, we propose a heuristics to improve the
branch-dependent proportion between supply and demand. Our approach cannot
estimate the branch-dependent demand directly. It can, however, classify the
branches into a given number of clusters according to an historic oversupply or
undersupply. This classification of branches can iteratively be used to adapt
the branch distribution of supply and demand in the future.

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The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
37
The categories of this paper are: supr-con