retail tech ecosystem

NOTICE: Proprietary and Confiden5al This material is proprietary to Shopsense. It contains trade secrets and confiden5al informa5on which is sole property of addSale. This material is solely for the Client’s internal use. This material shall not be used, reproduced, copied, disclosed, transmiBed, in whole or in part, without the express wriBen consent of addSale. © 2014 Shopsense Retail Technologies, All rights reserved.

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The Retail Tech Ecosystem

2 © 2014 Shopsense Retail Technologies. Confiden5al document, not for circula5on. All rights reserved.

Compe55ve Landscape All product companies that are in the space that Shopsense is in

Consumer Facing

Retailer Facing

Interactivity Data Analytics


Compe55ve Landscape All product companies that are in the space that Shopsense is in

Consumer Facing

Retailer Facing

Interactivity Data Analytics

Ini5al Euphoria; Small Sales Cycles; Customized Offering

Communica5on with the consumer; Highly commodi5zed;

Not too differen5ated

Only observes behavior; Highly commodi5zed; Intense compe55on; Do

not control the source of data


Consumer Facing -‐ Interac5vity Broadly breaks into three segments that provide an engaging experience to the shopper

Interactive Applications

High Level of Customiza3on

High Level of Customiza3on Capture Consumer Experience Deeply Engage Consumer

Difficult to Produc3ze

Augmented Reality

High Level of Customiza3on

Very High “Sexiness” factor Can Deeply Engage Consumers

High Cost of Content Crea3on “Sexiness” appeal lost very fast Current Experience not Pixel Perfect High Cost of Development

Location Based Notifications

Need to Switch on Something on the phone

Addi3onal Source of Data High Relevance Fundamentally Mobile High Adver3sing Poten3al

Can get irrita3ng High level of False Posi3ves

Capturing the consumer experience and engagement creates high entry barriers and makes the solution relevant to retailers and is habit-changing


Retailer Facing -‐ Interac5vity This segment is driven by enhancements to exis5ng solu5ons that are sold as modules on exis5ng retail infrastructure

POS Based MIS

Very High Entry Barriers

Highly Produc3zable Very well Integrated Piggyback on POS for distribu3on channel

Not Differen3ated

This segment is driven by making existing systems efficient (payments), beautiful (ERP) and modern (POS)

New Age Payment and POS Companies


Addi3onal Source of Data Controls Consumer Transac3ons Easy to Upsell other products & services

High Compliances Intense Compe33on

ERP Visualization


Highly Produc3zable

Not Differen3ated

Piggyback on ERP for distribu3on channel

Intense Compe33on


Consumer Facing -‐ Data Analy5cs Led by Loyalty Programs, this segment is where personaliza5on happens to consumers in the stores

Loyalty Programs

Loosing its sheen with high street and bridge to luxury brands

Capturing the consumer Perfect Customer Iden3fier

Segmentation and Campaign Management

Not Differen3ated

BeSer Targe3ng Piggyback on Loyalty programs for Distribu3on

Do not own the source of data Easy for Loyalty Programs to provide Difficult to showcase results 3me over 3me where low wallet share of consumer with one retailer

Clienteling Solutions

Not as Consumer Engaging

Integrated across various data sources High Relevance Complements Sales Associate

Needs Integra3on Across Various Data systems

Personalization, Omnichannel Enablement and Consumer Connect drives the maximum ROI for a retailer

High entry barriers Not Differen3ated


Retailer Facing -‐ Data Analy5cs To beBer understand consumers and op5mizes stores, products and staff, Retailer Facing Data Analy5cs solu5ons have been the poster child of retail tech for the beBer part of the previous decade

Purchase Behavior - POS, Loyalty, Inventory

Data captured at the end of shopping journey, post-‐hoc analysis

Understand Buying Behavior Piggyback on POS, Loyalty and Inventory for Distribu3on

Browsing Behavior - Video, BLE, WIFI

Leakage in capturing data

Understand Behavior that leads to Buying Own the source of data

Need to install addi3onal hardware Not totally passive; Need to get consumers to download app or opt into services

Important to own sources of data and integrate across all. Major drawback is that these are just observers, not interceptors to consumers to influence purchase


Our Opportunity

Targeted & Personalized Offers & Discounts

Browsing the website while in the store

Price Comparison, Product Reviews

Virtual Dressing Rooms, Sharing via Email/Whatsapp

SoLoMo Based Apps

Point of Sale, Payment, Loyalty

Value lies with one who controls consumer experience whilst owning and inventing new sources of data in the store that understand shopping

-  Drive Shopper Engagement and Enhance Experience -  Invent and own new sources of Data in the Retail Environment -  Understand Shopper Behavior to Sell More and Sell Better


Problem Landscape

Data Devices

Context

Deployment across devices that invent and own new sources of data in the store


Crea5ng and Understanding Consumer Ac5vity Streams

1980s 1990s 2000s Today

Consumer Ac3vity Across Touch-‐points

Transac3ons in Store & Online Browsing

Point-‐of-‐Sale Data in Modern Trade stores

Proprietor of Mom-‐&-‐Pop Store

“Software will not replace all offline retail. Instead it will be used to transform certain retail experiences”- Reid Hoffman

Mumbai www.shopsense.co

retail tech ecosystem

Technology