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UID:event-8912@www.amse-aixmarseille.fr
DTSTAMP:20260430T023249Z
CREATED:20260430T023249Z
LAST-MODIFIED:20260430T023249Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Jeroen Rombouts
DTSTART:20220510T120000Z
DTEND:20220510T133000Z
DESCRIPTION:Optimizing on-demand deliveries is of existential importance to
  platform businesses\, which\, given their size\, requires planning ahead i
 n real time using automated forecast procedures. Platform businesses that c
 an swiftly adapt to newly incoming demand data streams which exhibit strong
  seasonality\, irregular growth patterns and nonlinear dynamics can obtain 
 a competitive advantage. We propose a fast streaming demand forecast approa
 ch tailored towards these characteristic features of platform data and buil
 d in a dynamic adaptation of the model when forecast performance starts to
  worsen due to a rapidly changing environment. We empirically demonstrate 
 the benefits of such an approach on all UK delivery areas of an on-demand l
 ast mile delivery platform. We find strong performance gains against severa
 l industry benchmarks across different forecast error loss functions. We s
 tudy managerial implications for the platform business by computing financi
 al metrics based on economic loss\, by computing operating costs\, and by e
 stablishing relationships between size of the delivery areas\, their locat
 ion\, market growth\, and forecast performance.\\n\\nContact: Michel Lubran
 o : michel.lubrano[at]univ-amu.frPierre Michel : pierre.michel[at]univ-amu
 .fr\n\nPlus d'informations: https://www.amse-aixmarseille.fr/fr/evenements/
 jeroen-rombouts
LOCATION:Îlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/fr/evenements/jeroen-rombouts
CONTACT:Michel Lubrano : michel.lubrano[at]univ-amu.frPierre Michel :&nbsp\
 ;pierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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