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PRODID:-//AMSE//Event Calendar//FR
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UID:event-8912@amse-aixmarseille.fr
DTSTAMP:20260430T130935Z
CREATED:20260430T130935Z
LAST-MODIFIED:20260430T130935Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Jeroen Rombouts
DTSTART:20220510T120000Z
DTEND:20220510T133000Z
DESCRIPTION:ptimizing on-demand deliveries is of existential importance to 
 platform businesses\, which\, given their size\, requires planning ahead in
  real time using automated forecast procedures. Platform businesses that ca
 n 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 approac
 h tailored towards these characteristic features of platform data and build
  in a dynamic adaptation of the model when forecast performance starts to 
 worsen due to a rapidly changing environment. We empirically demonstrate t
 he benefits of such an approach on all UK delivery areas of an on-demand la
 st mile delivery platform. We find strong performance gains against several
  industry benchmarks across different forecast error loss functions. We st
 udy managerial implications for the platform business by computing financia
 l metrics based on economic loss\, by computing operating costs\, and by es
 tablishing relationships between size of the delivery areas\, their locati
 on\, market growth\, and forecast performance.\\n\\nContact: Michel Lubrano
 : michel.lubrano[at]univ-amu.frPierre Michel: pierre.michel[at]univ-amu.fr
 \n\nPlus d'informations: https://amse-aixmarseille.fr/en/events/jeroen-romb
 outs-0
LOCATION:Îlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://amse-aixmarseille.fr/en/events/jeroen-rombouts-0
CONTACT:Michel Lubrano: michel.lubrano[at]univ-amu.frPierre Michel:&nbsp\;p
 ierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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