Wishibam is a SaaS plateform enabling major physical players become omnichannel leaders.

We aim to be the world’s most powerful software enabling brick & mortar players to reconnect with sustainable growth.

Founded in 2015, Wishibam supports real estate players, cities, retailers & brands reconciling online & physical retail. To achieve the digital transition, Wishibam is the only SaaS solution capable of creating efficient local marketplaces based on real-time inventory.

Our ecosystem consists of three main modules :

𝑊𝑒 𝑏𝑢𝑖𝑙𝑑 𝑡ℎ𝑒 𝑛𝑒𝑤 𝑠𝑎𝑙𝑒𝑠 𝑐ℎ𝑎𝑛𝑛𝑒𝑙𝑠

Our marketplace automatically transcribes the stores’ inventory and product specificities in real time: 20,000 references digitized in less than 30 minutes.

𝑊𝑒 𝑒𝑞𝑢𝑖𝑝𝑒 𝑟𝑒𝑡𝑎𝑖𝑙𝑒𝑟𝑠 𝑡𝑜 𝑢𝑠𝑒 𝑎𝑙𝑙 𝑎𝑐𝑞𝑢𝑖𝑠𝑖𝑡𝑖𝑜𝑛 𝑐ℎ𝑎𝑛𝑛𝑒𝑙𝑠 𝑠𝑒𝑎𝑚𝑙𝑒𝑠𝑠𝑙𝑦

The power of omnichannel : Our intelligent CRM reconciles physical and online customer data (purchases, preferences, customer journeys) and enables the monitoring of highly personalized marketing campaigns on all channels. Our picking application makes it easy to manage delivery methods from the stores.

𝑊𝑒 𝑐𝑜𝑛𝑛𝑒𝑐𝑡 𝑟𝑒𝑡𝑎𝑖𝑙𝑒𝑟𝑠 𝑡𝑜 𝑛𝑒𝑤 𝑎𝑐𝑞𝑢𝑖𝑠𝑖𝑡𝑖𝑜𝑛 𝑐ℎ𝑎𝑛𝑛𝑒𝑙𝑠

Benefit from the wishibam network and join us :

+100 marketplaces created and being deployed for real estate players or cities (Compagnie de Phalsbourg, Altarea, Ceetrus, Megève, Angers…)

+100 million visitors on our marketplaces

+2 300 brands work with us (Sandro, Converse, Nike, L’Oréal…)

🏆 Forbes 30 under 30 - 2020
🏆 FEVAD "Meilleur espoir Retail"
🏆 MAPIC AWARD - 2019
🏆 Prix Vivatech : "The Shopping Centers of the Future" - 2019
🏆 Entrepreneurship World Cup - 2019
🏆 Choiseul - Ville de demain - 2020
🏆 EIT Scale-up accelerator - 2021
🏆 Proptech Innovation Award - 2021
🏆 Digital Transformation Award - 2021
🏆 Commercialization Trophy - 2021
🏆 Choiseul Ville de Demain - 2021
🏆 SIATI - Most Innovative Start-up Award - 2021

Phygital, Data Mining, Chatbot, Retail, CRM, e-commerce, Marketplace, CRM, Fidélisation, Digital, Marketing Digital, Innovation, B2B, Tech, Expérientiel, Clienteling, Personnalisation, Supply Chain, Logistique, Digitalisation des Points de Vente, omnicanal, Transformation Digitale, Transformation Numérique, Machine Learning, and Data Mining