Company:Lokad

From HandWiki
Lokad
TypePrivate
IndustrySoftware, Supply chain management
Founded2008 (2008)
FounderJoannes Vermorel
HeadquartersParis, France
Key people
Joannes Vermorel (CEO)
Estelle Vermorel (CFO)
Victor Nicollet (CTO)
Simon Schalit (COO)
ProductsPredictive supply chain optimization software
Number of employees
60 (December 2024)
Websitewww.lokad.com

Lokad is a French software company specializing in supply chain optimization. Founded in 2008, the company provides cloud-based analytics solutions using machine learning, probabilistic forecasting, and differentiable programming to enhance supply chain decision-making.[1][2] Lokad is known for being the first to the use of quantile forecasting and probabilistic forecasting in supply chain management.[3] Those techniques have been applied to aviation.[4][5]

History

Lokad was founded in 2008 by Joannes Vermorel, a graduate of the École normale supérieure (Paris), with a focus on improving demand forecasting and inventory optimization through software-based solutions.[6] In 2010, Lokad received the Microsoft Azure Partner of the Year Award for its early adoption of cloud computing for forecasting.[7]

In 2012, Lokad introduced quantile forecasting, making it the first company to offer this method at an industrial scale.[8] This innovation aimed to address the limitations of traditional mean-based forecasts by adjusting predictions according to service level requirements and cost structures. Expanding on big data capabilities.[9]

By 2019, Lokad became the first company to apply differentiable programming to supply chain optimization, allowing for end-to-end optimization of supply chain decisions using gradient-based learning techniques.[10] In 2020, Lokad was ranked 6th at the M5 Forecasting Competition, with the company's methods ranking first at the SKU level for forecasting accuracy.[11][12] In 2023, the company rebranded their offering under the artificial intelligence umbrella.[13]

See also

References

  1. "About Us". https://www.lokad.com/about-us/. 
  2. Deletoille, Gaetan (2022). Gestion de stock sous contrainte de quantité minimale de commande multi-références. Recherche opérationnelle [math.OC] (PhD thesis) (in French). Normandie Université. NNT : 2022NORMR029.CS1 maint: unrecognized language (link)
  3. "Lokad : l'intelligence artificielle au service de la supply chain". 2021. https://www.bfmtv.com/economie/replay-emissions/l-hebdo-des-pme/estelle-vermorel-lokad-lokad-un-editeur-logiciel-specialise-dans-l-optimisation-de-la-supply-chain-27-11_VN-202111270324.html. 
  4. "Air France Industries s'appuie sur Lokad pour gérer ses stocks". 2017. https://www.journal-aviation.com/actualites-mro-support/air-france-industries-sappuie-sur-lokad-pour-gerer-ses-stocks-20171026.html. 
  5. "Predictive optimization for Revima's Supply Chain by Lokad". 2022. https://www.revima.com/predictive-optimization-for-revimas-supply-chain-by-lokad/. 
  6. "Microsoft Announces 2010 Partner of the Year Awards Finalists and Winners". 23 June 2010. https://news.microsoft.com/2010/06/23/microsoft-announces-2010-partner-of-the-year-awards-finalists-and-winners/. 
  7. Durut, Matthieu (2012). Algorithmes de classification répartis sur le cloud. Apprentissage [cs.LG] (PhD thesis) (in French). Telecom ParisTech. tel-00744768v1.CS1 maint: unrecognized language (link)
  8. "Quantiles: Inventory Optimization 2.0". 12 March 2012. https://www.lokad.com/blog/2012/3/12/quantiles-inventory-optimization-20/. 
  9. "Lokad : le Big Data au service de la grande distribution". 2015. https://www.journaldunet.com/solutions/cloud-computing/1160846-acteurs-francais-big-data/1160940-lokad. 
  10. Peseux, Paul (2023). Programmation différentiable à grande échelle pour les données relationnelles (PhD thesis) (in French). Normandie Université. NNT:2023NORMR040.CS1 maint: unrecognized language (link)
  11. de Rezende, Rafael; Egert, Katharina; Marin, Ignacio; Thompson, Guilherme (2022). "A white-boxed ISSM approach to estimate uncertainty distributions of Walmart sales". International Journal of Forecasting 38 (4): 1460–1467. doi:10.1016/j.ijforecast.2021.11.006. https://www.sciencedirect.com/science/article/pii/S0169207021001801. 
  12. Makridakis, Spyros; Spiliotis, Evangelos; Assimakopoulos, Vassilios; Chen, Zhi; Gaba, Anil; Tsetlin, Ilia; Winkler, Robert L. (2022). "The M5 uncertainty competition: Results, findings and conclusions". International Journal of Forecasting 38 (4): 1365–1385. doi:10.1016/j.ijforecast.2021.10.009. 
  13. "Lokad : l'intelligence artificielle au service de la supply chain". 2024. https://www.challenges.fr/partenaires/letalkentreprise/lokad-l-intelligence-artificielle-au-service-de-la-supply-chain_895600. 

External links