Retail

Graham Tobin – The NAV PeopleCarsten Wulff – LS RetailMatthias Matthiason – LS Retail

• LS Retail Introduction• LS Nav 2017 Timeline

• Insight• Recommendation Engine• WebPOS

• LS Pay • LS Mobile POS• LS Mobile Loyalty

LS Retail overview

Headquartered in Reykjavik, Iceland

Run as a separate entity since 2007, although origins can be traced back to 1986

Since 2015, owned by Anchorage Capital Group

Employs over 220 people worldwide

60 in R&D, 25 in sales and marketing and 96 in consulting

Highly qualified and motivated workforce with over 90% educated to at least degree level

Employee Locations Headquarters Subsidiaries

Subsidiaries in the USA, Dubai, Singapore and Malaysia andlocal representation in Mexico, Canada, Denmark,Germany, Austria, Slovenia, India and Australia

Track record of growth

Global customer base

Americas

Europe

MEA & India

APAC4,000 customers with more than 62,000 stores in more than 120 countries

6

Scalable Go-To-Market model via global partner network

Over 260 certified partners in 75 countries with unified partner agreements

Leading ISV

LS Retail has always aimed at being one of the top independent software vendors for Microsoft Dynamics. Below is what we have accomplished so far:

Microsoft Global Outstanding ISV of the Year2015

Microsoft ISV of the Year for the United States2015

Microsoft ISV of the Year for Western Europe2015, 2013, 2009

Microsoft ISV of the Year for Eastern & Central Europe2014

Microsoft Inner Circle2016, 2015, 2014, 2013, 2012, 2011, 2009, 2008

Microsoft President’s Club2014, 2013, 2012, 2011, 2009, 2008

Microsoft Gold Certified Partner2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008

2016 Microsoft Dynamics

ISV of the YearUnited Kingdom

2015 Microsoft Dynamics

ISV of the YearGlobal

Changing retail landscape | megatrends

Mobile e-commerce Social

Of phones will be smart by end of 2017

Mobile Commerce will grow from now to end of 2017

Of workforce will be millennials by 2025 (33% now)

Prepared to pay more for a better experience

e-commerce sales already via Mobile

Mobile economy via apps not web by end of 2016

Consumerization of retail

Mobile loyalty

Personal marketing

Mobile apps

Social awareness

Omni channel

Big data

Analytics

Cloud services

SaaS

Social

Mobile

Big Data

Cloud

Nexus of forces that are re-shaping our business

LS Retail is fast growing and in a constant transformation

R&D investment forecast for the next 5 years (2016-2020) is over 50M €

Headquarters

Retail stores and devices

Stores

Retailmanagement

Financials & budgeting

Inventory & warehouse management

Sales & marketing

Reporting & analytics

Human resource management

Store/POS configuration

Price, offer, couponmanagement

Replenishment

Loyalty management

Social media

Anytime,anywhere

Customer service

eCommerce & mCommerce

Mobile loyaltyon various devices

Personalized offers and notifications

Map of locations with directions

Easy-to-usePOS/mobile POS

End-of-day cash management

Stock management

Ordering & transfers

Staff interactions with cross-/upselling

Microsoft Dynamics NAV

LS Nav | Retail

LS Nav 2017

Business Insight

LS Insight• Cloud Service• Subscription• Continuous Delivery• Power BI• Modules

• Sales

New Generation POS

WebPOS• Preview

(not for implementation)• Web Client and NAV

Universal App• IOs / Android / Windows• Hardware independent

Sales Assistance

LS Recommend• suggest relevant products

to the customer• Machine Learning• Supported at

• Stationary POS• e-Commerce (NOP)

• Sales History / Cold Items• Upsell / Black list

Business Insight

LS Insight• Cloud Service• Subscription• Continuous Delivery• Power BI• Modules

• Sales

In the Cloud

• Power BI + Excel

• Subscription

• Continuous Delivery

LS Insight

On Premise

• LS BI

• TARGIT

• Purchase License

LS BI

Data Models for ERP business

domains

Sales

Finance

Supply Chain

Data Warehouse for ERP datasets

Out of the box dashboards& analytical templates

Other data sources (internal & external)

Advanced Analytics

Hosted on Microsoft Azure / PowerBI.comServiced by LS Retail

CRM

Weather Data

Census Data

Power BI service

(powerbi.com)

LS Insight architecture

LS Nav DB(OLTP)

ETL Data Models(semantic layer)

Frontend

SQL Server

Built in Power BI Desktop by LS Retail Power BI

Service (.com) in browser + mobile

CLOUD

ON-PREM

Publish

Data Modelsfor each business domain

Azure Data Factory

Data Warehouse

Services Content Packs (Dataset + Dashboards

+ Reports)

Power BI Desktop

Import

Azure SQL Database

(1/customer)

Star schema

Clients

Scheduled refresh

(import)

“Analyze in Excel”

Scheduled import (min: 1/day)

by LS Retail

LS Insight

LS Insight

LS Insight

Sales Assistance

LS Recommend• suggest relevant products to

the customer• Machine Learning• Supported at

• Stationary POS• e-Commerce (NOP)

• Sales History / Cold Items• Upsell / Black list

Recommendation

• Machine Learning

• In the Cloud

• Pay as You Go

• Continuous Delivery

LS Recommend

LS Recommend

Recommendation displayed on the POS

• By request by pressing a button

• On total

• Printed on Slip

LS Recommend

Recommendation• Item to Basket : recommends items based

on items in a shopping basket

With Members or Customers• Item to Member/Customer : recommends

items based on a member’s/customer’s sales history

• Item to Basket with Member/Customer : recommends items based on items in a shopping basket, and on a member’s/customer’s sales

LS Recommend

Model in Azure consists of• Catalog : item data loaded to the cloud

• Usage : transaction history loaded to the cloud

• Build : training of data to find associations between items to give recommendation

LS Recommend

Cold Items• Items that have no sales history

• Features are used to recommend cold items

• The recommendation engine helps with selecting relevant features

Features can be product groups, item categories and brands

Jacket in a new colourBase recommendation on similar jacket with sales history

LS Recommend

Business Rules• Up sale : forces items to appear in the

recommendation results

• Block List : blocks items from recommendation

• White List : only make recommendations from a list of items

New Generation POS

WebPOS• Preview

(not for implementation)• Web Client and NAV Universal App• IOs / Android / Windows• Hardware independent

POS in LS Nav

POS in LS Nav

POS in LS Nav

POS in LS Nav

Web POSNAV Web/Tablet/Phone Client

LS Pay

• LS Retail will develop and deliver payment/EFT solutions to partner channel

• Complexity• Payment Service Provider PSP (PayEX, VeriFone, Worldpay…..)• Platform• Stationary POS• Mobile POS• Mobile Loyalty• eCommerce

• Device• Ingenico IPP350• Ingenico ISMP ……

• Country's/Regions

LS Pay – PayEx

Solution: LS NavVersion: From LS Nav version 8.0

and onwardsPayment terminal: Ingenico IPP350Payment Service Provider (PSP): PayExCertification agent: NetsCertification scope: NO, SE, DK & FIValid from: Immediately

LS Pay

Available for PayEx

Ingenico ISMP Mobile POS

Ingenico IPP350 Stationary POS

NO, SE, DK & FI

The touch points in LS Retail

E-Commerce Mobile POSMobile Loyalty POS

LS Nav

LS Omni - eCommerce

Magento

Alexa Top 1M – March 2016

nopCommerce

MagentoEnterprise Edition

MagentoCommunity Edition

LS Omni

Mobile POS

Influencing the decision process

More efficient selling

Improving the shoppingexperience

Compliment the stationary POS

Eliminating the gap

Reclaim the store layout

Accept PaymentBluetooth

Accept PaymentCradles

Ingenico iSMP

Mobile Loyalty

Analytics

Personalization

Customer Loyalty Social Media

Customer Service

Around the Clock Shopping

YouTube – The NAV People & LS Retail

E-mail - ask@thenavpeople.co.uk

Knowledge Centre -

http://thenavpeople.com/the-knowledge-centre

www.LSRetail.com

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