About Nextail
Nextail is building the solutions that will support the next generation of retail. Integrating big data & analytics, mobile technology, crowdsourcing and the cloud to deliver the most innovative inventory management solutions for the digital retail store.
Our product offers retailers the power of analytics and optimization to improve inventory allocation. We support 3 key decisions every retailer face: First product allocation, replenishment and store transfers. Our optimization engine coupled with the most advanced retail-specific BI, has proven to increase sales by 5-10% while reducing store stocks and stock-outs.
Why are we different?
Nextail was designed by fashion retail experts to support retailers in the transition to an agile retail paradigm. Our algorithms are built based on the last fast fashion operations research, which can be extended to other verticals with constant product introduction and short product lifecycles.
With an implementation time of less than a month and a low monthly fee per store, Nextail offers the highest value in the industry.
Traction
Nextail is already supporting the operations of 4 major retailers with a combined footprint of more than 1000 stores, and growing.
Management
Joaquin Villalba was previously Head of European Logistics for Inditex, the world's largest fashion retailer, where he also led the technical innovation. Joaquin is an Industrial Engineer and holds an MBA from INSEAD.
Carlos Miragall, a former management consultant at A.T. Kearney, has supported leading companies worldwide with their most challenging operational and strategic issues. Carlos is an Industrial Engineer and holds an MBA with Distinction from London Business School.
Javier Lafuente is founder of Decide Soluciones, a company that has solved some of the most complex analytics problems of companies like Carrefour and Dia, using optimization and predictive analytics. Javier holds a MSc in Mathematics and Computation.
Data Nextail
Created
United States · Spain,
February/2014
Workers
11
Status
Growth
