END-TO-END CATALOG PRODUCT AUTOMATION

Natural Language Processing to improve Retail Data Quality – NLP

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.

Retail Data Quality NLP for Product Catalog

Retailers often complain about the lack of manufacturer available data for their products. While it’s available in English, it is commonly missing in French, Dutch, German, you name it…

Retail Data Quality NLP

Indeed, the manufacturers have a hard time providing enriched data to their customers as it takes a lot of Marketing resources to publish and maintain product attributes.

How does Mash’n Lean NLP works?

When starting an AI project with our clients, we first process the existing content through our NLP bot’s scrutiny. Our bot detects all relevant data and store it into its Product Information repository.

When needed, the bot will retrieve data from Product Data providers like GS1, Indix, Icecat, etc.

Once the job of scanning existing content is done, the bot then start mining the web for additionnal informations. These informations enrich the Product Data, preparing the Catalog to get Product Pages automaticaly generated.

Having more data than the competition will allow your Pages to strike the top results on Search-Engines. Our bot will make sure the SEO is Google / Bings compliant by validating it with MOZ SEO.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

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USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

Increase Pages Indexing with Catalog Automation

During the last 10 years, Mash’n Learn founders have been implementing large-scale eCommerce websites. One of the main challenges is definitely about getting enough Product Data and Product Descriptions that were helping google to increase pages indexing.

Increase pages indexing thanks to Mash’n Learn Catalog Automation

Keeping up with search engine preferences is getting harder every update Google delivers. Google has been notoriously strict with its Page Quality rating, the score Google gives to evaluate how well a page achieves its purpose, given the potential impact on consumer well-being. Lots of FMCG Brands have been spending big bucks to increase pages indexing on Google, Bings and Yahoo.
Increase pages indexing

The search giant has also introduced several updates to its famed algorithm over the past several years, including new emphasis on context (matching the meaning of a search to content rather than keywords) and mobile optimization. or those providing goods and services online, this means increased pressure to create rich narrative content that is easy to refresh and works across platforms. Also, Google reportedly improved the result of indexed pages when the product descriptions are frequently refreshed.

Natural Language Generation is more than Chatbots

Natural Language Generation suites like Mash’n Learn’s MLPLA offer a way for marketplaces and directories of any size to create unique product descriptions across thousands or even millions of offerings. Basically, MLPLA is a Product Description Generator with A/B testing capabilities. These machine-based systems are able to automate the creation of content at a massive scale while still crafting descriptions that are unique, rich in detail, and customized to any brand, channel, or audience. Currently, Mash’n Learn works with its entire retail clients base to help them deliver SEO- and consumer-friendly product descriptions for their websites and mobile apps.

Some customers are Amazon-alike based in Europe. Our Machine Learning bots help them to produce up to 300 thousands products per night. These clients publish product descriptions for items as diverse as fashion clothes and electronics. Our Catalog Automation bots are able to sort categories and make sure a proper MOZ-compliant product page is submitted to Google for indexing.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

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France: (01) 76 39 00 41
Belgium: (04) 268 03 33

Product Description Generator for eCommerce

For 2 years, Mash’n Learn has been providing tools to generate Product Description Generator for eCommerce for each of your saleable items.
Product Description Generator

Installing our Product Description Generator

We offer e-commerce businesses the ability to write product descriptions at scale in a fraction of the time needed by a team of writers and at a fraction of the cost.

While writing product descriptions at scale offers obvious benefits, the proverbial white whale of e-commerce is personalizing product offers at scale. Having a well-written, one-size-fits-all product description generator puts you ahead of competitors that offer a set of nebulous specs in a table. But your best shot at converting shoppers comes from their feeling like you are catering specifically to them.

Getting fresh product descriptions will increase the number of pages indexed by Google and Bings. Since a massive number of well-written contents are made available to the web, your website authority is rising and your products keywords reach the first page of the search engines.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

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Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

The main struggle that eCommerce shops do face is around bad day-to-day management. Running an eCommerce shop is exactly like running a traditional retail business. You have to spend all available minutes of your day chasing customers and improving documentations.

Most of eCommerce starters think that they just have to wait for customers to order

To be plain profitable, an eCommerce shop has to be managed by 4 types of profiles: an online marketer, a product merchandiser, a supply manager and finally an integration manager. Those 4 functions are mandatory to get above the bar of 10k$ per month of revenues.

JD Edwards eCommerce Integration with Product Catalog Automation

Connect your JD Edwards EnterpriseOne or WorldSoftware to Magento, DemandWare, WooCommerce or Prestashop. We can offer and end-to-end JD Edwards eCommerce Integration with our Product Catalog Automation suite.

JD Edwards eCommerce Integration

Product Catalog Automation uses full JD Edwards eCommerce Integration

Using the standard interoperability and the Business Services (BSSV), our Machine Learning robot can create a complete online store directly from JDE data.

JD Edwards eCommerce example

Example of JDE E1 generating Products in WooCommerce

Address Book, Products, Inventory and Orders

We offer a complete integration between JD Edwards’ database with the eCommerce.

Using Advanced or Standard warehousing, the orders coming from the standard eCommerce platform will integrate directly in your warehouse and will generate pick slips to deliver your customers.

The inventory levels will be fully in synch and the Product Item Master will be updating the features and the descriptions based on business rules we set together. The integration also support advanced pricing.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

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Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

Product Catalog Automation integration with Amazon SellerCentral

Mash’n Learn provides built-in full end-to-end Amazon Product Integration for its Artificial Intelligence Catalog Automation suite.

amazon product integration

Amazon Product Integration for your Catalog Automation

Our Product Catalog Automation suite is fully integrated with Amazon SellerCentral. With our suite, not only your Product Page Descriptions are being generated, but they’re also published on your eCommerce (DemandWare, Magento, WooCommerce, PrestaShop, BigCommerce) but they are also made available on Amazon Worldwide.

Why should I put my product catalog on Amazon? It’s expensive

Nah, it’s not expensive. It’s nothing compared to Distribution and Retail commissions. The maximum royalties you will pay are 25% for some items. It’s extremely cheap knowing that Amazon is your best chance to sell your products according to this SEO chart:

Amazon vs Search Engine

Product Catalog Management is Mash’n Learn core business

Our Product Catalog Automation tool uses all the latest innovations on Text Mining & Natural Language Processing/Generation. Text mining, also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from available text over all the web.

High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

Your Name (required)

Your Email (required)

Your Phone number (if you want us to call you)

Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

eCommerce Merchandising Automation

Reduce your workload by implementing eCommerce Merchandising Automation using Natural Language Generation. Our suite will hike your organic traffic.

eCommerce Merchandising Automation with Natural Language Generation

eCommerce Merchandising Automation will reduce your overhead

Connecting your product feed or item database will feed our bot with plenty of attributes and features. From those values, it will build and maintain your product descriptions.

eCommerce Merchandising Automation will increase your revenues

Getting fresh product descriptions will increase the number of pages indexed by Google and Bings. Since a massive number of well-written contents are made available to the web, your website authority is rising and your products keywords reach the first page of the search engines.

eCommerce Merchandising Automation will fasten your time-to-market

With IBM Alchemy Language, our bots can understand up to 17 languages. This means that we can build your entire catalog in German, French, Dutch, Spanish, Italian and obviously English.
The main bottleneck for an international deployment is the catalog merchandising part. Uploading your products usually take a long time while translating them makes it even slower. This is exactly the reason why a group of eCommerce and Affiliation experts like us invested in Catalog Merchandising Automation.

Mash’n Learn also provides those types of automation services to Media and Blogs.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

Your Name (required)

Your Email (required)

Your Phone number (if you want us to call you)

Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

Lisa Mashn is a Natural Language Generation bot

Lisa Mashn is a Natural Language Generation bot. More specifically, she’s 3 types of bots into one: Maintenance bot, Chat bot and Twitter bot. Her job is to manage the end-to-end operations of Gamers Paradise, a French speaking Gaming webshop.

Gamers Paradise Natural Language Generation bot

Our NLG bots deal with English, French, German, Dutch and Spanish. We can also add 17 languages to this/

Natural Language Generation bot managing eCommerce websites

In my 10 years experience with eCommerce owners and wannabees, the main struggle that eCommerce shops do face is around bad day-to-day management. Running an eCommerce shop is exactly like running a traditional retail business. You have to spend all available minutes of your day chasing customers and improving documentations.

Most of eCommerce starters think that they just have to wait for customers to order

To be plain profitable, an eCommerce shop has to be managed by 4 types of profiles: an online marketer, a product merchandiser, a supply manager and finally an integration manager. Those 4 functions are mandatory to get above the bar of 10k$ per month of revenues.

At Mash’n Learn, we are building robots whose Artificial Intelligence (or more specifically Machine Learning) is dedicated to achieve daily tasks a human can do.

The first results are more than satisfying since we managed to build robots that can produce and maintain thousands of Product Descriptions overnight by using the latest Natural Language Generation techniques.

Natural Language Generation backend

Lisa’s back end may look ugly at first sight…

The code behind the Lisa bot may look ugly, but it becomes beautiful when you realize that it can generate months of hard work in only just a few hours. The use of IBM Watson‘s capabilities at the pace of light is helping each bot to reach up to 25 thousands pages of content in only 5 hours. So fast it has to run between midnight and 5AM to avoid creating a burden on the websites performance.

From creating to categorizing

Lisa will create the Product descriptions, will manage the product categorization, the changes in pricing, the seasonal promotions, the new offers from the manufacturers and merchants and will tweet them and pin them on Social Networks.

All those operational tasks within the organisation such as overhead dedicated to merchandising and communication, which usually takes resources hundreds of hours, are reduced to almost nothing. If you are a starter, you can avoid hiring backoffice people. If you’re running a large organisation, you can shift your staff to more value added tasks instead.

Obviously, this cannot happen without a precise organisation and we use Automated Insights Wordsmith to do so. This Natural Language Generation tool has the best user interface so far on the Market. In a couple of hours, our clients can manage the building of text structures without any pain.

Mash’n Learn also provides those types of automation services to Media and Blogs.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

Your Name (required)

Your Email (required)

Your Phone number (if you want us to call you)

Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

COLAS – Product Categorization and Integration through Machine Learning

Mash’n Learn has been taken along with BHI to improve the Product Categorization and Integration at COLAS, the Engineering company part of Bouygues group.

Catalog Categorization

Product Categorization though Machine Learning

Rationalizing the Product Catalog through categorization and complete integration can help any large organization to:

  1. Control the Costs
  2. Rationalize the Sourcing
  3. Share information inside the companies more efficiently
  4. Allow promotional testing of slow moving products

Thanks to the gain of productivity from the Machine Learning bits, the workload needed to analyse, sort and publish product data is heavily reduced. As soon as a catalog reaches 15 thousands products, the organization needs 4 fulltime equivalent employees just to maintain the data.

That workforce could be spared for value added tasks like negotiating and optimizing the supply chain.

At Mash’n Learn, we fix your Catalog content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

Your Name (required)

Your Email (required)

Your Phone number (if you want us to call you)

Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

Why your robot should rewrite fresh Product Descriptions every week?

While our Mash’n Learn clients clearly understand the great value of having one of our Natural Language Generation robots to create their product descriptions, they usually wonder why we suggest to have those contents frequently updated.

Mash’n Learn’s Natural Language Generation robots fresh Product Descriptions frequently

fresh Product Descriptions

We discussed this with my SEO colleagues the potential need for fresh contents and we came up with the following observations:

Fresh Product Descriptions are good for Google/Bings/Yahoo SEO ranking

MOZ states that Google ranks based on frequency of content changes (The age of a webpage or domain isn’t the only freshness factor. Search engines can score regularly updated content for freshness differently from content that doesn’t change. In this case, the amount of change on your webpage plays a role.). Their full article for your own understanding here: https://moz.com/blog/google-fresh-factor-new.

MOZ fresh product descriptions

Fresh Product Descriptions are good for temporary Promotional contents

We can adapt the NLG template each time there is a promo or a related product we want to temporary push.

Last year, we rewrote all 40 thousands product descriptions for Conforama between Christmas and the January sales. It resulted into a hike in the conversion rate as the promotional code were directly visibles in the top description.

Fresh Product Descriptions are helping A/B testing

We can rapidly test during a short period multiple type of descriptions and their effect on Sales. We aim to raise the conversion rate.

Also, we are also using Prezzu as Pricing predictive pricing to increase our clients Gross Margin. Finding the fair pricing is a constant struggle and our Catalog automation tools help to ease that.

Fresh Content creates spikes in organic traffic

At Mash’n Learn, we fix your e-Commerce content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

You can fill this form to have us to contact you

Get a call from us

Your Name (required)

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Your Phone number (if you want us to call you)

Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

Natural Language Generation for Media

Media Natural Language Generation is a growing feature. From finance to sports, from politics to millions of individualized stories, our partner Wordsmith is revolutionizing media. Companies like The Associated Press are expanding output by orders of magnitude and freeing up staff time, all while decreasing errors.
Media Natural Language Generation

Media Natural Language Generation is an essential component of our Retail suite

How does Media Natural Language Generation works? The 4implementation steps are similar to the eCommerce Mash’n Learn process:

1. Establish the automated content strategy

Depending on your goals, we have to build up to 4 different types of published contents: for email Marketing, for Twitter/Facebook, for a printed Journal/Magazine or for Product features.

2. Structuring Data and Contents

Create a Data Warehousing gathering all texts produced for similar contents. Depending on the targeted quality, this process can take a while. The more source content we use, the more human the automated generated articles will be.

3. Build the outputs

From all the content templates, we build a significant number of generated scenarios that will be tested during 2 weeks until all stakeholders agree on the result.
Automated Insights Wordsmith

4. Integrate with all interfaces

Our skills at Mash’n Learn are Data Mining and Integration with information systems and publishing tools (HTML, eCommerce platforms, Adobe suite, Social Media). We will your Natural Language Generation robot to be quickly ready to be autonomous.

Media Natural Language Generation: we can help

At Mash’n Learn, we fix your content with Machine Learning

From Natural Language Generation to Predictive Analysis, Mash’n Learn provides a complete tool suite for the large catalog retailers.

For a Media Natural Language Generation project, this is an Alpha implementation planning that target going live within two weeks (assuming all resources are available):
Media Natural Language Generation planning

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Or you rather get a phone call, here are the numbers you can reach us with:
USA: (314) 399 82 87
UK: (203) 318 23 02
France: (01) 76 39 00 41
Belgium: (04) 268 03 33

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