Retail Graham Tobin – The NAV People Carsten Wulff – LS Retail Matthias 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 and local representation in Mexico, Canada, Denmark, Germany, Austria, Slovenia, India and Australia

Track record of growth

Europe Americas

4,000 customers with more than 62,000 stores in more than 120 countries

APAC MEA & India

Global customer base

6

Over 260 certified partners in 75 countries with unified partner agreements

Scalable Go-To-Market model via global partner network

Leading

ISV

2016 Microsoft Dynamics

2015 Microsoft Dynamics

ISV of the Year

ISV of the Year

United Kingdom

Global

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 Year 2015 Microsoft ISV of the Year for the United States 2015 Microsoft ISV of the Year for Western Europe 2015, 2013, 2009 Microsoft ISV of the Year for Eastern & Central Europe 2014

Microsoft Inner Circle 2016, 2015, 2014, 2013, 2012, 2011, 2009, 2008 Microsoft President’s Club 2014, 2013, 2012, 2011, 2009, 2008 Microsoft Gold Certified Partner 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008

Changing retail landscape | megatrends Of phones will be smart by end of 2017

e-commerce sales already via Mobile

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

Mobile economy via apps not web by end of 2016

Mobile Commerce will grow from now to end of 2017

Prepared to pay more for a better experience

Mobile

e-commerce

Social

Nexus of forces that are re-shaping our business Social

LS Retail is fast growing and in a constant transformation

Consumerization of retail

Mobile apps

Big data

Mobile loyalty

Social awareness

Analytics

Personal marketing

Omni channel

Cloud services

Mobile

Big Data

SaaS

Cloud

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

LS Nav | Retail Headquarters Microsoft Dynamics NAV

Retail management

Stores Retail stores and devices

Customer service Anytime, anywhere

Financials & budgeting

Store/POS configuration

Easy-to-use POS/mobile POS

eCommerce & mCommerce

Inventory & warehouse management

Price, offer, coupon management

End-of-day cash management

Mobile loyalty on various devices

Sales & marketing

Replenishment

Stock management

Personalized offers and notifications

Ordering & transfers

Map of locations with directions

Reporting & analytics Human resource management

Loyalty management Social media

Staff interactions with cross-/upselling

LS Nav 2017

Business Insight

Sales Assistance

New Generation POS

LS Insight

LS Recommend

WebPOS

• • • • •

Cloud Service Subscription Continuous Delivery Power BI Modules • Sales

• suggest relevant products to the customer • Machine Learning • Supported at • Stationary POS • e-Commerce (NOP) • Sales History / Cold Items • Upsell / Black list

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

Business Insight LS Insight • • • • •

Cloud Service Subscription Continuous Delivery Power BI Modules • Sales

On Premise

In the Cloud

• LS BI

• Power BI + Excel

• TARGIT

• Subscription

• Purchase License

• Continuous Delivery

LS BI

LS Insight

Other data sources (internal & external) Data Warehouse for ERP datasets

Data Models for ERP business domains

Out of the box dashboards & analytical templates

Sales

Weather Data

Census Data

CRM

Supply Chain

Finance

 Hosted on Microsoft Azure / PowerBI.com  Serviced by LS Retail

Advanced Analytics

LS Insight architecture LS Nav DB (OLTP)

ETL

Data Warehouse

Data Models (semantic layer)

Frontend

Star schema

Data Models for each business domain

Import

Azure Data Factory

CLOUD

ON-PREM SQL Server

Publish

Built in Power BI Desktop by LS Retail

Azure SQL Database (1/customer)

by LS Retail Scheduled import (min: 1/day)

Power BI service (powerbi.com)

Services Content Packs

Scheduled refresh (import) Power BI Service (.com) in browser + mobile

(Dataset + Dashboards + Reports)

“Analyze in Excel”

Clients

Power BI Desktop

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 colour Base 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 POS NAV 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: Version: Payment terminal: Payment Service Provider (PSP): Certification agent: Certification scope: Valid from:

LS Nav From LS Nav version 8.0 and onwards Ingenico IPP350 PayEx Nets NO, SE, DK & FI Immediately

LS Pay Available for PayEx Ingenico ISMP  Mobile POS Ingenico IPP350  Stationary POS NO, SE, DK & FI

The touch points in LS Retail

Mobile Loyalty

E-Commerce

LS Nav

Mobile POS

POS

LS Omni - eCommerce

Magento nopCommerce

Magento Enterprise Edition Magento Community Edition Alexa Top 1M – March 2016

LS Omni

Mobile POS Improving the shopping experience

Compliment the stationary POS

More efficient selling Reclaim the store layout

Influencing the decision process

Eliminating the gap

Accept Payment Bluetooth

Accept Payment Cradles

Ingenico iSMP

Mobile Loyalty Customer Loyalty

Social Media

Personalization

Around the Clock Shopping Analytics

Customer Service

YouTube – The NAV People & LS Retail E-mail - [email protected] Knowledge Centre http://thenavpeople.com/the-knowledge-centre

www.LSRetail.com

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