stop letting out-of-stock hurt your bottom line

Janet Dorenkott 440-899-3296 x225 [email protected]

Confidential - for limited circulation only

Agenda

• Relational Solutions/Mindtree Background• Case Studies

• Identify Costly Replenishment Issues

• Reclaim Lost Sales Dollars

• Set Alerts to avoid Out-of-Stock

• What Makes this so Difficult?

• Go Beyond OOS

• What to do Next!


Mindtree at a Glance

3

We engineer meaningful technology solutions to help businesses and societies flourish.

$715Mannual revenue

17,000Mindtree Minds

42offices

17 countries

65%US

25%Europe

10%APAC

22.5%YOY growth

Top 7 IT company in India


Offerings

4

Solution Architecture & Enterprise Foundations

Agile Application Development & Maintenance Application Maintenance ServicesManaged Services

Project & Program Management

CPG, Retail & Manufacturing

Travel, Transportation & Hospitality

Banking, Financial Services & Insurance

Technology & Media

Digital (e-commerce,

Marketing, Mobile, Cloud)

Data- warehousing & Integration

ERPEAI

(BPM, SOA)

Engineering R&D

Independent Testing

Infrastructure Management

Analytics & Insights (Predictive & Prescriptive)

Mainframe & Midrange


Global Presence

Basel, SwitzerlandBrussels, BelgiumCologne, GermanyDublin, IrelandLondon, UKParis, FranceSolna, SwedenVianen, Netherlands

Europe AsiaDubai, UAEKuala Lumpur, MalaysiaSingaporeSydney, AustraliaShanghai, ChinaTokyo, Japan

North AmericaChicago, ILCleveland, OHDallas, TXGainesville, FLLos Angeles, CAMinneapolis, MNNew York, NYOntario, CanadaPhoenix, AZScottsdale, AZSan Jose, CASchaumburg, ILRedmond, WAWarren, NJ

Company HQ Delivery Center Delivery & Training Center

IndiaBangaloreBhubaneswarChennaiHyderabadPune

5

Confidential - for limited circulation only 6

#1 SAP HANA implementation partner #1 Duck Creek implementation partner

Acquisitions in 2015-16

Leader in demand signal repositories, data integration & COE for analytics

(predictive & prescriptive)

Platinum Salesforce implementation partner


Our CPG Focus

7

Digital Marketing

Demand Chain Management

Predictive Analytics

Trade Promotion Management and Post-

Event AnalyticsChannel Collaboration

Demand Signal Repository & Data

Ingestion

BI and Analytics

Distributor Management

Sales Force Automation

CRM & Master Data Management

http://www.cibavision.us/index.shtml


Agenda

• Relational Solutions/Mindtree Background

• Case Studies• Identify Costly Replenishment Issues




• Go Beyond OOS



Aligned Shipments with Sales

Improved Vendor Managed Inventory

CPG Case Study:Demand Signal Repository

PREDICTIVE ANALYTICS

9

Sales Performance TrackingVelocity And Distribution ReportCross Retailer/ Cross Channel

ReportsCustomer Profitability Analysis


Cross Selling


Providing Recommendations on

Suggested Order Quantities

Cloud enabled collaboration platform for 18,000 distributors

in 22 countries

Reduced order-to-cash cycle by 60%

Savings $15M on store audits in 3 years

11

DISTRIBUTOR MANAGEMENT

CPG Case Study:Winning the New Age Consumer


Unified Digital Marketing platform

70 unique brands182 countries

1600 digital properties

40% cost savings 50% less time-to-

market

Consumer Goods Giant Engaging with Consumers Faster and Better Across all Digital Channels

Phy-gital consumer

12


Root Cause Analysis


The Perfect Store

• The Rep is adding to the recommendations on our Suggested Order Quantity.

• Learned process that ultimately results in the perfect store


Agenda





• What Makes this so Difficult?• Go Beyond OOS



Lowes

Walgreen’s

Costco

Shipments

Other POS dataEDI/FF/txt/Access, etc

Wholesaler/Dist

IMS

Submit Reports

Most time spent gathering disparate data

•G a t h e r i n g•C l e a n i n g•I n t e g r a t i n g•J u s t i f y i n g

?Inconsistent reports leadto questionable decisions

Kroger/Market 6

Wal-Mart, ShilohRetail Link, EDI/AS2

??

? ?

??

What Makes Analytics So Difficult?

Kmart

IRINielsen

Third Party Data

NPDWeather DunHumby

RSI

EDI


•G a t h e r i n g•C l e a n i n g•I n t e g r a t i n g•J u s t i f y i n g

Why POS Data Cleansing?

Property of Relational Solutions, Inc. By Janet Dorenkott June 2015

Big Data, Omni-Channel& New Data Sources

End UserRequests Change

Data Frequency is Inconsistent

Data Formats Vary From Source to Source

You Are at the Mercy of Retailer Decisions

Constantly ChangingConditions

POS is Not Always Available& May Cost Money

Everyone Wants to SeeData Differently

Different Sources?Different Reliability

Every Retailer Provides Different Data Elements

Lack of Integration &Manageability


Every Retailer Provides Different Data Elements

Date Time Units Price Store # In Transit OH Inv OH Qty In Warehouse

On Order

9/16/2015 08:12:00 150 $3.20 #442 30 20 10 20 50

Date Time Units Store #

9/16/2015 10:14:06 122 #210

Retailer A

Retailer B


Aligning Different Week Start & End Dates

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Sunday

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday Saturday

Sunday

Monday

Tuesday

Wednesday

Thursday

Friday


Different Sources, Different Formats

EDI 852EDI 867

SAP

Retailer Portals

AS2Oracle

TXT

SQL

Excel

CSV

How Do I get all these

sources into 1 common database

type?

FTP

Access


Different Sources, Different Reliability

Missing Data

EDI Inconsistencies

UPC Issues

Portal is Down

Re-Casts

• Data was supposed to come in from CVS today! Where is it?

• RetailLink is down!

• Walgreens is padding UPC codes in the front with 2 digits!

• Food Lion is padding UPC codes in the back with 1 digit!

• Kroger wants us to buy data from Market 6!

• Dollar General was missing 2 days from last month!

• Target EDI came in 4 hours late!


Different Retailers, Different Hierarchies, Different Vernacular

Internal

Category

Brand

Sub-Brand

Item

Product #

Retailer A

Category

Sub-CategoryBrand

Product #

Product ID

Sku

Retailer B

Category

Sub-CategoryItem #

Item Name

Sku


Frequency of Feeds Vary

EDIDaily

Syndicated Data Monthly

ERP Data Every Second

Currency Conversion

Daily

Daily POS Once a Month

RMAAnnually

Plan Data When

Available

Weather Trends Quarterly


Constantly Changing Market Conditions

New Competitors New Retailers

Trends New Laws

Acquire a Company

Economy Management Direction

National Conditions Natural Disaster

New Corporate Direction

Retailers Partners

Company switches data providers

The company adds a new data source

Retailer Contracts

New CEO


You Are Subject To Retailer Decisions

Make Portal Changes

Start Sending Inventory

New POS Source

Category Focus Changed

New Buyer

Update Contract Restrictions

Policy Changes

More Data Offered

Opened New Stores

Acquired Another Retailer


End User Requirements Change

I Need to see Target compared

to Walmart

Include Shipments in this Report

How do I compare my

sales with plans?

We just bought new

demographic data

I need to calculate potential impact

I upgraded our Nielsen

contract

We switched from SAP to

Oracle

I want to compare this with weather

trends

I want to compare POS from the

retailer with POS from IRI


POSmart

Consistency

•Easy Access to Information

•Improved Productivity

Streamline DataGathering

Synchronize, Integrate & Validate POS

Wal-Mart/ShilohEDI /AS2/Retail Link

Promo/Forecasts

Costco

Nielsen/Spectra/RSi

Shipping

Kmart

Kroger

IRI/Mkt6/NPD

EDI, AS2

Walgreens

Wholesaler/Dist

Home Depot

Productive Meetings

Integration & Harmonization


Agenda






• Go Beyond OOS• What to do Next!


Military, Distributor

Budget

3rd Party

GL

ForecastsReports

Scheduled & Cached

Shipments

SourcesRetailers WalMart CVS Costco Kroger/DunH Meijers Sam’s Distributors

POSmartIntegrate, Validate, Synchronize &

Manage

BlueSky Over 200 KPI’sOr Other BI Tool

DW

POS Integrat

orBIS

EDI, Text, Flat Files, Access, Retail Link, Partners

SAP, JDE, DB2, Oracle, JDA

Users access via web

3rd Party Data:AC Nielsen/IRISpectra/NPD, Market6, RSi

ForecastShipments, Promo, Vendor

TradeSmart

POSmart

“Smart” Architecture

OtherTPM

BlueSky Analytics Power User

BlueSky Viewer Casual Users or

BlueSky XL Users

Control Center


Deployed RSI TradeSmart- Post-event

analytics solution

6% sales increase 1% profit gain

Go Beyond POS Integration:Post event Trade Analysis to Optimize Spend

PREDICTIVE ANALYTICS

30

Promotion ExecutionBaseline Sales

Uplift & ROI AnalysisOptimized Spend Allocation

Cannibalization & Halo Effect AnalysisPantry Stocking/Post Event DipTrade Promotion Optimization


Agenda






• Go Beyond OOS



Next Steps:

Complete Our “Getting Started” Guide

Coordinate a Demo for your Peers

Start with key retailers and syndicated data providers

Automate standard reports

Start Providing new Insights

Predictive Impact & Prescriptive Recommendations


Follow our Relational Solutions Training Blog www.relationalsolutions.com/blog

Join Demand Signal Repository Institute Group

Follow Relational Solutions

Connect with Janet Dorenkott and Karen Kurtzweil

Watch our Training & Video’s on Relational Solutions Channel

Follow @POSmartBlueSky & @JanetAtRSI

Like Relational Solutions

Contact Janet Dorenkott 440-899-3296 x225 [email protected]

Contact Karen Kurtzweil 440-899-3296 x235 [email protected]

Stay Connected & Informed!

mailto:[email protected]

mailto:[email protected]