As per 40% of the eCommerce population, Mash’n Learn has chosen to focus on WooCommerce for its marketplaces implementations.
This is the reason why one of the first Natural Language Generation tools developed by our team was immediately on WooCommerce. We are still helping our clients to roll out DemandWare, BigCommerce and Magento, but our focus is on deploying Proofs of Concepts on WordPress.
Our WooCommerce Fast Implementation methodology helped us reducing from 4 months to 3 weeks all installations in new countries like Germany, France, UK, Spain, Canada, USA and Italy. The Product Pages are no longer a bottleneck in the flow, Mash’n Learn’s bot is taking care of all the pain by generating massive descriptions (up to 30 thousands per night).
FAst, scalable AND automated
Find Out MoreWe favor the top Industry frameworks for our eCommerce implementation.
Our Devs are trained to keep it extra simple.
international & multilingual
Find Out MoreOur solution supports up to 17 different languages and it’s now possible to open new International Sales Channels within a short lead-time.
Fully integrated end-to-end
Find Out MoreIntegration with ERP, e-Commerce, Social Media, Artificial Intelligence or SEO optimization tools. It’s all covered End-to-End!
Mash’n Learn manages the P&G Laundry Catalog
Along with LR Physics for the Data Science and Marketing Strategy and Vilna Gaon for the WooCommerce Fast Implementation, Mash’n Learn has implemented Wash Club, the Electrolux & P&G venture for Detergent Subscription.
A complete end-to-end solution involving Logistics, Digital Marketing and Data Science models on Consumer Analytics and Supply Chain.
read moreUnique Product descriptions – a problem of scale…
Unless you’ve been living under a rock, you know that Google loves unique content.
The better and more relevant your content, the better you’ll rank, which should lead to traffic and conversions. Unique product descriptions come in at #6 in the Indix 9 steps to better SEO and CRO list.
Also, good product descriptions have been shown to increase conversion rates by over 30% (we’ve seen 30%, 78%, and even over 100% in our research).
How does it work?Retail Data Quality NLP for Product Catalog
Mash’n Learn’s Natural Language Processing bot is used to greatly improve the Retail Product catalog. Our Retail Data Quality NLP suite helps our bots to create the best Catalog Product Descriptions by the thousands in 17 languages.
read moreLatest News
We’ve been fast tracking implementations for a while now.
Our bot is now used on large brands implementation.
Mash’n Learn’s Natural Language Processing bot is used to fast track the worldwide eCommerce implementation.
It does greatly improve the Retail Product catalog. Our Retail Data Quality NLP Suite helps our bots to create the best Catalog Product Descriptions by the thousands in 17 languages.
Mash’n Learn Product Catalog Automation Solutions span key marketing platforms areas such as but not limited to Google PLA, Amazon Seller Central, Facebook Products and Pinterest integration.
Since the end of 2016, Mash’n Learn gained the trust of various online retailers with whom we’re partnering today in order to get more qualified traffic and related sales revenue. The Machine Learning Tools Suite also includes Artificial Intelligence algorithms that are integrated with Supply Chain Demand Management, Sourcing and ERP Product Catalog.
Our team of seasoned experts
Nicolas Evrard
Techno Boss
Nicolas has been developing complete integrated infrastructure between ERP, PIM and eCommerce.
Leila Rebbouh
Chief Science Officer
Leila has been managing Data Science projects during the last 15 years for companies like P&G, Toyota and Hunstman.
Audrey Bettonville
Project Coordinator
Audrey is managing the Content Strategy as well as the Project Administration of our implementations.
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