Pricing HUB
Created in 2018
- BETA
Up & running (A)
Existing signals show a regular activity Social networks
65 2,630Activities
Technologies
Entity types
Location
14 Rue Soleillet, 75020 Paris, France
Paris
France
Employees
Scale: 11-50
Estimated: 30
Engaged corporates
19
4 18Added in Motherbase
2 years, 8 months ago
e-commerce Value proposition
Saas Pricing solution powered by machine learning for retailers and e-commerce.
PricingHUB's mission is to help retailers and e-commerce leaders protect their margins by putting customers’ price sensitivity (not competition) at the center of the price optimisation decision.
We leverage internal data and AI to deliver actionable price recommendations to optimize trading objectives while providing a clear ROI information.
Our goal is twofold:
1. Help our clients understand price elasticity and its components at a granular level
2. Bring in automation so they can run pricing optimization at scale
At PricingHUB we do also believe that there is a big opportunity to leverage on line data to make better pricing decisions in store.
We focus on working on specific use cases (such as but not limited to) ...
- Clustering your product portfolio to implement differentiated product strategies
- Price dynamically the most cross-sold products,
- Optimizing your promotion strategy
- Manage your longtail
... And develop the methods, tools and algorithms that will serve those use case.
If you are curious to understand how it works, please contact us: info@pricinghub.net
If you are a Data Scientist or a Dev looking for a very data centric and solid start-up project check our offers https://www.pricinghub.net/jobs-2/
Dynamic Pricing , SaaS, Machine Learning, e-Commerce, Retail, Price Elasticity, Revenue Management, and AIOriginal language
Solution de pricing en mode Saas basée sur le machine learning pour les retailers et les e-commerçants.
La mission de PricingHUB est d'aider les retailers et les leaders du e-commerce à protéger leurs marges en plaçant la sensibilité au prix des consommateurs (et non la concurrence) au centre de la décision d'optimisation des prix.
Nous exploitons les données internes et l'IA pour fournir des recommandations de prix exploitables afin d'optimiser les objectifs commerciaux tout en fournissant des informations précises sur le retour sur investissement.
Notre objectif est double :
1. Aider nos clients à comprendre l'élasticité des prix et ses composantes à un niveau granulaire.
2. Introduire l'automatisation afin qu'ils puissent exécuter l'optimisation de leurs prix à grande échelle.
Chez PricingHUB, nous pensons également qu'il existe une formidable opportunité : celle d'exploiter les données en ligne pour prendre de meilleures décisions en matière de prix en magasin.
Nous nous concentrons sur des cas d'usage spécifiques tels que, mais sans s'y limiter :
- Regrouper votre portefeuille de produits pour mettre en œuvre des stratégies de produits différenciés
- Fixer dynamiquement le prix des produits les plus vendus,
- Optimiser votre stratégie de promotion
- Gérer votre longtail
... Et développer les méthodes, outils et algorithmes qui serviront ces cas d'usage.
Si vous êtes curieux de comprendre comment cela fonctionne, n'hésitez pas à nous contacter : info@pricinghub.net
Si vous êtes un Data Scientist ou un Dev à la recherche d'un projet de start-up solide et centré sur les données, consultez nos offres : https://www.pricinghub.net/jobs-2/
PricingHub : The intelligent pricing tool
Optimize pricing with Artificial Intelligence to increase your sales and boost your margins. Unleash the power of Pricing.
https://www.pricinghub.net/en/
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