Since Machine Learning is no longer reserved to big companies only, LR Physics has been able to provide new type of value added service to its clients. With the right parameters, the Data mining helps retail data to answer the most important questions a seller can ask. Also, it reduces dramatically the workload from the retail staff so they can focus on value added tasks only.
2. How it Started
Integrating eBusiness’ Supply Chain
Since 1999, Stephan Pire integrates Supply Chain with ERP systems in
large manufacturing company.
In 2012, he’s hired to manage eCommerce’s Supply Chain integration for
Columbia Sportswear, Starbucks and Clarins. From there on, he starts
building eCommerce frontends.
In 2013, FOTO.COM hires him as Sales & Marketing to build a robust
organisation. The eCommerce organisation is so similar to Supply Chain
that he starts building an automated Service Oriented Architecture based
on full end to end integration between Suppliers and Customers.
In 2015, the first entirely automated eCommerce go live and is generating
revenues without any human interaction.
2
5. Planning
You need someone to make sure you have stock, but not too much of it
5
Supply Ninja
Planner Ninja
6. Integrating
You need to make sure your catalog inventory and price are integrated with your ERP and Distributors
6
Supply Ninja
Planner Ninja
SOA Ninja
7. Marketing
Content must be SEO-friendly and ready to advertize on dozens of Ads platforms
7
Supply Ninja
Planner Ninja
SOA Ninja
Digital
Marketing Ninja
8. eCommerce needs a end-to-end team
Job descriptions are wide
8
Supply Ninja
Planner Ninja
SOA Ninja
Digital
Marketing Ninja
● Searching for high
turnover products
● Find the best Supplier
● Arrange Product Catalog
● Build Pricing based on P/L
● Establish a seasonal
forecast
● Communicate with
Supplier
● Fulfill distributors
● Create buffer stocks
● Manage Sales integration
inside ERP (Sage,
JDEdwards, SAP, Tryton,
etc.)
● Manage outboudn catalog
feeds (Google, Amazon,
Facebook, Pinterest, etc.)
● Manage catalog campaign
on Ads networks
● Enrich Product Catalog to
be SEO/informational
● Plan Marketing according
to seasonal forecasts
9. Story starts with another lazy team
who spent more time procrastinating than actually doing the job
9
10. One goal: Automation of the whole process
Making repetitive tasks automated helps the organisation to focus on SALES
10
Supply Ninja
Planner Ninja
SOA Ninja
Digital
Marketing Ninja
● Searching for high
turnover products
● Find the best Supplier
● Arrange Product Catalog
● Build Pricing based on P/L
● Establish a seasonal
forecast
● Communicate with
Supplier
● Fulfill distributors
● Create buffer stocks
● Manage Sales integration
inside ERP (Sage,
JDEdwards, SAP, Tryton,
etc.)
● Manage outbound catalog
feeds (Google, Amazon,
Facebook, Pinterest, etc.)
● Manage catalog campaign
on Ads networks
● Enrich Product Catalog to
be SEO/informational
● Plan Marketing according
to seasonal forecasts
11. Challenge on Automation
Where we developed our unfair features
11
Supply Ninja
Planner Ninja
SOA Ninja
Digital
Marketing Ninja
● Feeding when there are
no API
● Recognizing main data
fields on custom website
● Translating values
● Getting the right inventory
turnover when there are
no information on on hand
quantity
● Getting a seasonal cycle
when the product is brand
new
● Dealing with more than 30
different feeds
specifications
● Find out the product best
keywords
● Finding the right ads
labels
12. Machine Learning address the main challenges
Innovation helps us fasten the intelligent recognition process
12
Supply Ninja
Planner Ninja
SOA Ninja
Digital
Marketing Ninja
● Feeding when there are
no API
● Recognizing main data
fields on custom
website
● Translating values
● Getting the right
inventory turnover when
there are no information
on on hand quantity
● Getting a seasonal cycle
when the product is
brand new
● Dealing with more than 30
different feeds
specifications
● Find out the product
best keywords
● Finding the right ads
labels
Data Science Machine Learning
13. SaaS on MASHNLEARN SERVEUR
Mash’n Learn SaaS
the Magic behind it
Complete Customer-pull Data Mining
13
Data Learning SOA & Predictive Forecasting
SOA
14. Reaping the Automation benefits
Happy lessons learned
● Serious hike in the online channel time-to-market for any Distributor
or Manufacturer
○ It took 2 weeks to reach break even for a Garden Plants subsidiary website for
Phytesia SA
● Severe overhead reduction
○ Casa Decoration generates 1k€+ revenues without any maintenance. Overhead is
limited to hosting costs.
● Serious hike in Inventory Turnover through better stock management
for new products
○ Reduced forecast errors on product introduction from 40% to 15%
14
15. AFFILIATION
Result: Full control of new Product Retail
We help you master your 0-risk new product introduction flow
15
Test New Product
CTR >5%
DROPSHIPPINGStart Selling Product
FULFILLStart Trading Product
EOQ<1moS
17. Frequent Questions
Let’s be quick!
● How long do you need to set up Mash’n Learn in my Company?
○ Depending on your ERP and your catalog size, the webshop can go live within 30 days
● How much does cost Mash’n Learn?
○ The starting licenses, dealing with Supply only, is starting at 400€/month
● Who will integrate my ERP with Mash’n Learn?
○ We are working with a team with strong technical knowledges of the major ERPs
● Is Mash’n Learn a Product Information Management tool?
○ Yes it is, except it is supported by a Service Oriented Architecture and it has a
Machine Learning module to automate the data filling
● What is the preferred method to exchange data with ERPs?
○ We use late Web Service for SAP and ERP. We can use flat file systems or FTP folders
as it is requested by many organizations. 17
18. This document is for Investor only and is subject to Blockchain copyright
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Registered in the Blockchain since: 2016-08-24 14:54:22
Merci - A votre disposition
Cédric Krier
B2CK SPRL
Email/Jabber: cedric.krier@b2ck.com
Tel: +32 472 54 46 59
Website: http://www.b2ck.com/
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Stephan Pire
LR PHYSICS SPRL
Email: stephan@catc.biz
Tel: +32 496 863 275
Website: http://www.lrphysics.com/