RECOMMERCE LAB:
OUR OPERATIONAL RESEARCH ENTITY
since 2009, in Europe
RECOMMERCE LAB:
PUBLICATIONS
Our Recommerce Lab managed by Dr. Antoine JEANJEAN often releases plubilc research and studies
INFOGRAPHICS
Our Recommerce Lab often releases infographics around the industry and market trends
Research and Development
Since its creation, RECOMMERCE GROUP anticipates market trends with innovative solutions. The optimization of our value chain (reverse logistic, testing, refurbishing, etc.) and the pricing algorithms of collected devices are the keypoints of R&D investments of our business.
Our performance is based on the integration of highly optimized tech softwares (pricing, switching, forecasting, reverse logistics engines…) created in house by a team of experts. Our innovative offerings are fueled by a dynamic management and established partners.
Our 5 Operational Fields of Research
Driven by Dr. Antoine Jeanjean, Phd in Operations Research from Polytechnique in France, the Research and Development Program of Recommerce Group is focused on the following 5 main topics.
Big Data Pricing
RECOMMERCE GROUP developed an extremely powerful tool used to calculate daily quotation of used electronic devices. Dozens of indicators gather everyday thousands of data from foreign and local markets as inputs in our system database.
Our dynamic pricing algorithms platform calculates on a daily basis buy-back prices and resale prices of several thousand references, thus guaranteeing service sustainability by focusing on micro-optimization that generates macro-optimization.
Pricing Forecasts
RECOMMERCE GROUP is at the crossroads between e-commerce and logistics. We invested heavily in precise and accurate forecasts for goods collection, workshop entrances and storage. Our model is based on algorithms developed by data scientists using indicator-based techniques -already proven in other domains- providing daily data to the various software bricks of our operational research.
Reverse logistics Optimization
Stores selling new products have to face issues linked to reverse logistics once they start buying back used devices. Our tool, helps managing the redemptions of used electronic devices in networks of stores selling new products.
Once bought back, the products need to be stored in boxes ad then shipped to the testing, cleaning and recycling center. The problem of this reverse logistic system resides in the strategic choice the shop has to make between shipping the boxes to the center for repair and which box not to repair.
Our bi-criterion optimization tool has been created to help reduce the logistics costs and the depreciation of fixed assets in the management of reverse logistics stocks. This tool was developed in partnership with the Rhone Alpes Region and with Professor Van Dat Cung from INPG.
›› Works presented at conference ROADEF 2013– Troyes.
Residual Value & Leasing
An important research topic is the management of residual value risk linked to the new models of mobile phones offerings. Phone distribution modes are evolving and new rental models are emerging. These new models of distribution are based on a crucial factor: the residual value of the product.
To be able to calculate and forecast correctly the residual value of a good, the statistical models of Recommerce Solutions are based on automotive research and Big Data strategy by collecting data for 4 years on volumes, purchase prices and Resale of used phones. The strong fluctuations in the second-hand markets proves that research on futures must be instrumented and structured in order to minimize risks. With one billion smartphones marketed worldwide in 2013 and almost double the number of PCs and tablets, the market for leasing these electronic products is a growing market.
›› Work presented at conference ROADEF 2014 – Bordeaux.
Cash Flow Optimization
This optimization model aims at maximizing margins. It consists of making the right level of refurbishment to the corresponding goods as to transform the goods from a collection quality to the resale quality of its forecasted resale channel. Our optimization tool helps us driving efficiently our remanufacturing process which can face many issues due to the different quality levels of devices of the same batch and the different levels of repair for different resale channels of this same batch. Optimizing, following and organizing is the strength and the heart of this highly performing solution.
Many studies around production planning problems with remanufacturing options have been published as “The simplest single-product versions are NP-Difficiles», work in partnership with Professor Nabil Absi from Mines de Saint Etienne.
Work presented at conference ROADEF 2017 – Metz – Click here for more details
R&D Team
Team managed by Antoine JEANJEAN
Antoine JEANJEAN holds a doctorate in computer science from the Ecole Polytechnique with thesis work on optimization and planning algorithms. After studying at ISIMA in Clermont-Ferrand and USA in the Industrial Engineering department of Norman University (Oklahoma). In 2005, Antoine Jeanjean joined the R&D team of the Bouygues Group, an Innovation & Optimization laboratory as an optimization and decision-making research engineer. He worked principaly on yield management of the TF1 adds and the planning of the DTP Terrassement highway construction sites.
In 2009, he co-founded RECOMMERCE GROUP with Pierre-Etienne Roinat, Cédric Maucourt and Benoît Varin. He created Recommerce Lab dedicated to R&D around second hand market. He is also board member of the French Operations Research Society, ROADEF.
Antoine JEANJEAN
Head of Recommerce Lab
About us
RECOMMERCE GROUP is the pionneer of refurbished smartphones sale and buyback solutions in Europe.
RECOMMERCE GROUP give a second life to smartphones via its unique and innovative AI platform.
