SlideShare a Scribd company logo
in.store Platform for
Supercharging Brick & Mortar Stores Sales
Diginetica in.store is a Clienteling Solution For Delivering Customer Value and
Measure Store Performance in Real-Time
Identification &
behavioral tracking
User Context (UPS) 01
02
03
New engagement
models
Online
Interactions Data
Operational
TransparencyPurchases
In.store Platform is designed to personalise the customer’s in-store experience by using their
background and preferences from the relevance cloud, then enriching it with offline user
interactions that support a 360’ customer view and real-time OMNI operations.
Enriching Relevance Cloud With Offline Data
Stores
E-Commerce
Social
CRM/ Loyalty
Mobile
ERP (Inventory)
E-mail
POS
Web
Offline data
Call
center
Mobile apps
Identification & In-store Behavior Tracking is the Cornerstone Of
The Personalized Shopping Experience
RFID inventory tracking &
merchandising
Connected mobile apps
Footprint logging
Churn and
retention tracking
“Offline views” recording
Gaining a 360° customer view and enjoyable
personalized shopping experience means knowing
and understanding customer activities in-store.
We collect different customer interactions signals to
improve how we understand their needs and intent
In.store Platform Supports New Engagement Models
Online Store Entrance Departments /
Aisle
Fitting RoomCash Desk
•Store Post visit Communications
•Appointments Booking
•Offline Triggered Campaigns
•Store Arrival
Notifications
•Smart Fitting Room
•Guided Sales for SA
•Smart Inventory Pickup
•Personalized loyalty
offers and coupons
•Guided Sales for SA
•Personalized receipts,
loyalty offers and
coupons
Customer identification,
interaction history and
the smart personalization
engine allow retailers to
build efficient and tailored
personal engagements,
offers and communications
Increasing Efficiency With Real-time Operational Transparency
Personalized customer
relationship management
Enhanced Product
Knowledge
Real-time instore
performance reports
Cross-channel attribution
Enriching customer profiles
with offline data
KPI tracking & sales
associates motivation
(gamification, transparency)
Operations efficiency and agility is the cornerstone of lightning fast innovations.
Diginetica Platform provides functionality to build transparency in operations, sales
performance, training, communication and real-time reporting
Solution Overview & Journey
In.store Platform goals
Increase Average Order Value (AOV)
Personalize cross-selling & up-selling strategies
Build customer loyalty based on 1-to-1 approach
Increase rapidity of sales operations
Empower sales associates with enriched product information
Speed up in-store checkout
Increase conversion
Centralized store and sales management 
(instrument to view and impact sales in real time across store and stores)
Use Cases
Increase conversion by providing
personalized recommendations,
personal prices and promotions,
services
Enhance customer experience
with mobile POS checkout
Pick-up orders. Increase
Average Order Value (AOV) by
personalized cross-selling
Trigger e-mail communications
with customer offline history
Improve store stock
management by using real-time
assortment in recommendations
and alternatives
Optimize store operations
Associate dashboard with key metrics
Centralization of tasks and announcements
In.store Platform Provides Associates With Key Insights
Features
Top sellers
by store
department
Solution helps associates to be always up-to-date
informing them on best-selling products, current
promotions and trending customer interests.
To maximize sales information compiled based on
store sales analysis, sales/margin goals and can be
controlled in real time by store management
Trending website
searches
Current promotions
Customer Identification Works in Different Ways
Features
Phone number
Simple identification methods are available at any
points of journey to support seamless and convenient
shopping experience. Loyalty card can be scanned,
swiped or entered by numbers. Just a second and
sales associate gets all customer data at hand
Loyalty card Order number
(for pick-up orders)
Actionable Customer OMNI Profile
Features
Segments and
attributes
Highly actionable customer profile provides
associates with personalized recommendations, client
interests and purchase history.
In.store Platform built on top of RichRelevance
products and Relevance Cloud empowers associates
with customer unified cross-channel profile
Single customer view
and personalized
recommendations
Both online and
offline customer data
Smart Product Page Adjusts To Current Customer
Features
Designed for
in-store usage
Product page adjusting to current customer
context guides through the key relevant product
details and provides personalized up & cross sell
recommendations.
The page also “knows” when it’s better showing
Similar items and when to show See Also items
Real-time
recommendations
Adjusts to
context and customer
In-store Shopping Cart and Payment Methods
Features
Send to POS
Offline cart checkout can be executed
in different ways depending on the
customer or payment method.
The shopping cart can be sent by email
Pay with mPOS
Apply Coupons
Features
Actionable analytics
for associates and
managers
Associate Dashboard is a space for recommended
personal actions and data. The target is to provide
sales people with the best advices based on their
performance and aggregated data
Customizable
metrics and reports
Associates
Leaderboard
Sales Associate Dashboard
Features
Self-improving
algorithms
Guided Sales let retailer sell faster and more. It can be
flexibly used in stores and on website in a form of self-
service kiosk or sales associate personal tool
Both in-store and
online tool
Natural language
questions
Guided Sales Functionality Easily Turns Tablet Into Self-Service Mode
Diginetica in.store is Powerful and Flexible Solution
Customizable
Cross-platform
Responsive
Short integration stage
SDK for 3d party apps
Integrates with
3rd party IT solutions
Three-step Integration Lets Build Core in.store Functionality
ERP CRM / Loyalty
Integrate with Relevance
Cloud
Set up integration with ERP:
catalog, stocks and other
key master data
Finalize integrating with
Customer Relationships
Data
The initial integration of Diginetica in.store is a 3-stage process and takes around 3 months.
Installing the hardware must be done within this timeframe
Tablets: cloud platform vs. proprietary mobile website
Mobile website in.store Platform
Extended customer omni-profile (offline + online) No Yes
Different modes: associate, director, self-service Limited Built-in
Solution scalability & flexibility Limited Very high
Cross-platform and Plug & Play architecture Limited Yes
Analytics and reporting, integrations with BI systems
and proactive recommendations
Limited Yes
Integrations with external solutions
(analytics, mPOS, CRM, Internet of Things)
Additional Development Built-in
Store operations management: tasks, KPIs,
announcements
No Built-in

More Related Content

What's hot

Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...
Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...
Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...
Heroes of CRM Conference
 
How to implement omnichannel architecture
How to implement omnichannel architectureHow to implement omnichannel architecture
How to implement omnichannel architecture
Elena Martínez
 
SagePay Magento Ecommerce Forum Presentation
SagePay Magento Ecommerce Forum PresentationSagePay Magento Ecommerce Forum Presentation
SagePay Magento Ecommerce Forum Presentation
PushON Ltd
 
hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...
hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...
hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...
Tero Angeria
 
Retail Digital Transformation
Retail Digital TransformationRetail Digital Transformation
Retail Digital Transformation
Sonata Software
 
Sales force automation
Sales force automation  Sales force automation
Sales force automation
Unitedworld School Of Business
 
Nils Weber: Building a Successful Operating Model for Data Driven CRM
Nils Weber: Building a Successful Operating Model for Data Driven CRMNils Weber: Building a Successful Operating Model for Data Driven CRM
Nils Weber: Building a Successful Operating Model for Data Driven CRM
Heroes of CRM Conference
 
SAP Hybris Marketing - Cosmin Costea
SAP Hybris Marketing - Cosmin CosteaSAP Hybris Marketing - Cosmin Costea
SAP Hybris Marketing - Cosmin Costea
Institutul de Marketing
 
360 Degree View of Customer
360 Degree View of Customer360 Degree View of Customer
360 Degree View of Customer
Sahana Bose
 
Sales force automation
Sales force automationSales force automation
Sales force automation
Rohit Singh Saini
 
Sales Force Automation System
Sales Force Automation SystemSales Force Automation System
Sales Force Automation System
Parshant Saini
 
ATG Commerce: Full Capabilities Overview
ATG Commerce: Full Capabilities OverviewATG Commerce: Full Capabilities Overview
ATG Commerce: Full Capabilities Overview
sobrien15
 
28 11 2014 evento capgemini retail demo multicanalità dynamics
28 11 2014 evento capgemini retail   demo multicanalità dynamics28 11 2014 evento capgemini retail   demo multicanalità dynamics
28 11 2014 evento capgemini retail demo multicanalità dynamics
Largo Consumo
 
Ecommerce Replatforming Basic Use Case
Ecommerce Replatforming Basic Use CaseEcommerce Replatforming Basic Use Case
Ecommerce Replatforming Basic Use Case
BigCommerce
 
Sales force automation - Unitedworld School of Business
Sales force automation - Unitedworld School of BusinessSales force automation - Unitedworld School of Business
Sales force automation - Unitedworld School of Business
Arnab Roy Chowdhury
 
Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...
Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...
Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...
Heroes of CRM Conference
 
CRM@Oracle - Customer 360
CRM@Oracle - Customer 360CRM@Oracle - Customer 360
CRM@Oracle - Customer 360
tbOracleCRM
 
TS Overview seated
TS Overview seatedTS Overview seated
TS Overview seated
Francisco Bledsoe
 
The biggest stores on Magento
The biggest stores on MagentoThe biggest stores on Magento
The biggest stores on Magento
Divante
 
Composity eCommerce
Composity eCommerce Composity eCommerce
Composity eCommerce
Composity
 

What's hot (20)

Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...
Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...
Sebastian Amtage / Julia Rapp: Think Modular! Achieving Customer Centricity W...
 
How to implement omnichannel architecture
How to implement omnichannel architectureHow to implement omnichannel architecture
How to implement omnichannel architecture
 
SagePay Magento Ecommerce Forum Presentation
SagePay Magento Ecommerce Forum PresentationSagePay Magento Ecommerce Forum Presentation
SagePay Magento Ecommerce Forum Presentation
 
hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...
hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...
hybris SAP and IBM Retail Webinar presentation - How Brands Get Strongest ROI...
 
Retail Digital Transformation
Retail Digital TransformationRetail Digital Transformation
Retail Digital Transformation
 
Sales force automation
Sales force automation  Sales force automation
Sales force automation
 
Nils Weber: Building a Successful Operating Model for Data Driven CRM
Nils Weber: Building a Successful Operating Model for Data Driven CRMNils Weber: Building a Successful Operating Model for Data Driven CRM
Nils Weber: Building a Successful Operating Model for Data Driven CRM
 
SAP Hybris Marketing - Cosmin Costea
SAP Hybris Marketing - Cosmin CosteaSAP Hybris Marketing - Cosmin Costea
SAP Hybris Marketing - Cosmin Costea
 
360 Degree View of Customer
360 Degree View of Customer360 Degree View of Customer
360 Degree View of Customer
 
Sales force automation
Sales force automationSales force automation
Sales force automation
 
Sales Force Automation System
Sales Force Automation SystemSales Force Automation System
Sales Force Automation System
 
ATG Commerce: Full Capabilities Overview
ATG Commerce: Full Capabilities OverviewATG Commerce: Full Capabilities Overview
ATG Commerce: Full Capabilities Overview
 
28 11 2014 evento capgemini retail demo multicanalità dynamics
28 11 2014 evento capgemini retail   demo multicanalità dynamics28 11 2014 evento capgemini retail   demo multicanalità dynamics
28 11 2014 evento capgemini retail demo multicanalità dynamics
 
Ecommerce Replatforming Basic Use Case
Ecommerce Replatforming Basic Use CaseEcommerce Replatforming Basic Use Case
Ecommerce Replatforming Basic Use Case
 
Sales force automation - Unitedworld School of Business
Sales force automation - Unitedworld School of BusinessSales force automation - Unitedworld School of Business
Sales force automation - Unitedworld School of Business
 
Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...
Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...
Felix Schirl & Tom Kussmaul – Telefónica’s Evolution From CRM to a 360 View o...
 
CRM@Oracle - Customer 360
CRM@Oracle - Customer 360CRM@Oracle - Customer 360
CRM@Oracle - Customer 360
 
TS Overview seated
TS Overview seatedTS Overview seated
TS Overview seated
 
The biggest stores on Magento
The biggest stores on MagentoThe biggest stores on Magento
The biggest stores on Magento
 
Composity eCommerce
Composity eCommerce Composity eCommerce
Composity eCommerce
 

Similar to in.store Platform Presentation

Openbravo Store Brochure
Openbravo Store BrochureOpenbravo Store Brochure
Openbravo Store Brochure
Openbravo
 
Tailor-made BV Mobile Point of Sale Systems for Wholesalers and Retailers
Tailor-made BV Mobile Point of Sale Systems for Wholesalers and RetailersTailor-made BV Mobile Point of Sale Systems for Wholesalers and Retailers
Tailor-made BV Mobile Point of Sale Systems for Wholesalers and Retailers
Mike Taylor
 
Best Retail POS System in USA - Tagrain POS System.pptx
Best Retail POS System in USA - Tagrain POS System.pptxBest Retail POS System in USA - Tagrain POS System.pptx
Best Retail POS System in USA - Tagrain POS System.pptx
tagrain56
 
The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360
The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360
The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360
asmithaarokiamary
 
Exploring-the-Features-of-an-Ecommerce-Platform.pdf
Exploring-the-Features-of-an-Ecommerce-Platform.pdfExploring-the-Features-of-an-Ecommerce-Platform.pdf
Exploring-the-Features-of-an-Ecommerce-Platform.pdf
DEMANDAY intent driven
 
Reinvent your var business
Reinvent your var businessReinvent your var business
Reinvent your var business
Shane Emerson
 
Site Analytics for Shopping Centres / Property
Site Analytics for Shopping Centres / PropertySite Analytics for Shopping Centres / Property
Site Analytics for Shopping Centres / Property
Daisuke Nakayama
 
Site Analytics for Retailers
Site Analytics for RetailersSite Analytics for Retailers
Site Analytics for Retailers
Daisuke Nakayama
 
App_suite_2015
App_suite_2015App_suite_2015
App_suite_2015
Prem Couture
 
Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...
Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...
Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...
Traction on Demand
 
Brochure_SmartStoreExperience
Brochure_SmartStoreExperienceBrochure_SmartStoreExperience
Brochure_SmartStoreExperience
Pier Vittorio Sassone
 
Proposal for Point of Sale and Inventory Management Systems
Proposal for Point of Sale and Inventory Management Systems Proposal for Point of Sale and Inventory Management Systems
Proposal for Point of Sale and Inventory Management Systems
Thiha Kyaw Htin
 
Product Brochure
Product BrochureProduct Brochure
Product Brochure
Jordan Byrnes
 
Retail Management System
Retail Management SystemRetail Management System
Retail Management System
effiasoft
 
tidy_brochure_fv_low
tidy_brochure_fv_lowtidy_brochure_fv_low
tidy_brochure_fv_low
Tom Booth
 
Odoo Retail Management
Odoo Retail ManagementOdoo Retail Management
Odoo Retail Management
Abhishek Gupta SAP FICO Consultant
 
PayGo Sri Lanka Overview
PayGo Sri Lanka OverviewPayGo Sri Lanka Overview
PayGo Sri Lanka Overview
Vardan Aslibekyan
 
bluepath solution for Supermarkets and Retail
bluepath solution for Supermarkets and  Retailbluepath solution for Supermarkets and  Retail
bluepath solution for Supermarkets and Retail
bluepath
 
C.r.m & e --c.r.m
C.r.m & e --c.r.mC.r.m & e --c.r.m
C.r.m & e --c.r.m
sai precious
 
Smart retail technology
Smart retail technologySmart retail technology
Smart retail technology
Dharun Vignesh Selvaraju
 

Similar to in.store Platform Presentation (20)

Openbravo Store Brochure
Openbravo Store BrochureOpenbravo Store Brochure
Openbravo Store Brochure
 
Tailor-made BV Mobile Point of Sale Systems for Wholesalers and Retailers
Tailor-made BV Mobile Point of Sale Systems for Wholesalers and RetailersTailor-made BV Mobile Point of Sale Systems for Wholesalers and Retailers
Tailor-made BV Mobile Point of Sale Systems for Wholesalers and Retailers
 
Best Retail POS System in USA - Tagrain POS System.pptx
Best Retail POS System in USA - Tagrain POS System.pptxBest Retail POS System in USA - Tagrain POS System.pptx
Best Retail POS System in USA - Tagrain POS System.pptx
 
The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360
The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360
The Role of Digital Shelf Analytics for Brands and Retailers - DigiSense360
 
Exploring-the-Features-of-an-Ecommerce-Platform.pdf
Exploring-the-Features-of-an-Ecommerce-Platform.pdfExploring-the-Features-of-an-Ecommerce-Platform.pdf
Exploring-the-Features-of-an-Ecommerce-Platform.pdf
 
Reinvent your var business
Reinvent your var businessReinvent your var business
Reinvent your var business
 
Site Analytics for Shopping Centres / Property
Site Analytics for Shopping Centres / PropertySite Analytics for Shopping Centres / Property
Site Analytics for Shopping Centres / Property
 
Site Analytics for Retailers
Site Analytics for RetailersSite Analytics for Retailers
Site Analytics for Retailers
 
App_suite_2015
App_suite_2015App_suite_2015
App_suite_2015
 
Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...
Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...
Mastering the Retail Omni Channel Experience with Aldo, Salesforce & Traction...
 
Brochure_SmartStoreExperience
Brochure_SmartStoreExperienceBrochure_SmartStoreExperience
Brochure_SmartStoreExperience
 
Proposal for Point of Sale and Inventory Management Systems
Proposal for Point of Sale and Inventory Management Systems Proposal for Point of Sale and Inventory Management Systems
Proposal for Point of Sale and Inventory Management Systems
 
Product Brochure
Product BrochureProduct Brochure
Product Brochure
 
Retail Management System
Retail Management SystemRetail Management System
Retail Management System
 
tidy_brochure_fv_low
tidy_brochure_fv_lowtidy_brochure_fv_low
tidy_brochure_fv_low
 
Odoo Retail Management
Odoo Retail ManagementOdoo Retail Management
Odoo Retail Management
 
PayGo Sri Lanka Overview
PayGo Sri Lanka OverviewPayGo Sri Lanka Overview
PayGo Sri Lanka Overview
 
bluepath solution for Supermarkets and Retail
bluepath solution for Supermarkets and  Retailbluepath solution for Supermarkets and  Retail
bluepath solution for Supermarkets and Retail
 
C.r.m & e --c.r.m
C.r.m & e --c.r.mC.r.m & e --c.r.m
C.r.m & e --c.r.m
 
Smart retail technology
Smart retail technologySmart retail technology
Smart retail technology
 

Recently uploaded

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
Daiki Mogmet Ito
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Vladimir Iglovikov, Ph.D.
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Zilliz
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Data structures and Algorithms in Python.pdf
Data structures and Algorithms in Python.pdfData structures and Algorithms in Python.pdf
Data structures and Algorithms in Python.pdf
TIPNGVN2
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 

Recently uploaded (20)

GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Data structures and Algorithms in Python.pdf
Data structures and Algorithms in Python.pdfData structures and Algorithms in Python.pdf
Data structures and Algorithms in Python.pdf
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 

in.store Platform Presentation

  • 1. in.store Platform for Supercharging Brick & Mortar Stores Sales
  • 2. Diginetica in.store is a Clienteling Solution For Delivering Customer Value and Measure Store Performance in Real-Time Identification & behavioral tracking User Context (UPS) 01 02 03 New engagement models Online Interactions Data Operational TransparencyPurchases In.store Platform is designed to personalise the customer’s in-store experience by using their background and preferences from the relevance cloud, then enriching it with offline user interactions that support a 360’ customer view and real-time OMNI operations.
  • 3. Enriching Relevance Cloud With Offline Data Stores E-Commerce Social CRM/ Loyalty Mobile ERP (Inventory) E-mail POS Web Offline data Call center Mobile apps
  • 4. Identification & In-store Behavior Tracking is the Cornerstone Of The Personalized Shopping Experience RFID inventory tracking & merchandising Connected mobile apps Footprint logging Churn and retention tracking “Offline views” recording Gaining a 360° customer view and enjoyable personalized shopping experience means knowing and understanding customer activities in-store. We collect different customer interactions signals to improve how we understand their needs and intent
  • 5. In.store Platform Supports New Engagement Models Online Store Entrance Departments / Aisle Fitting RoomCash Desk •Store Post visit Communications •Appointments Booking •Offline Triggered Campaigns •Store Arrival Notifications •Smart Fitting Room •Guided Sales for SA •Smart Inventory Pickup •Personalized loyalty offers and coupons •Guided Sales for SA •Personalized receipts, loyalty offers and coupons Customer identification, interaction history and the smart personalization engine allow retailers to build efficient and tailored personal engagements, offers and communications
  • 6. Increasing Efficiency With Real-time Operational Transparency Personalized customer relationship management Enhanced Product Knowledge Real-time instore performance reports Cross-channel attribution Enriching customer profiles with offline data KPI tracking & sales associates motivation (gamification, transparency) Operations efficiency and agility is the cornerstone of lightning fast innovations. Diginetica Platform provides functionality to build transparency in operations, sales performance, training, communication and real-time reporting
  • 8. In.store Platform goals Increase Average Order Value (AOV) Personalize cross-selling & up-selling strategies Build customer loyalty based on 1-to-1 approach Increase rapidity of sales operations Empower sales associates with enriched product information Speed up in-store checkout Increase conversion Centralized store and sales management  (instrument to view and impact sales in real time across store and stores)
  • 9. Use Cases Increase conversion by providing personalized recommendations, personal prices and promotions, services Enhance customer experience with mobile POS checkout Pick-up orders. Increase Average Order Value (AOV) by personalized cross-selling Trigger e-mail communications with customer offline history Improve store stock management by using real-time assortment in recommendations and alternatives Optimize store operations Associate dashboard with key metrics Centralization of tasks and announcements
  • 10. In.store Platform Provides Associates With Key Insights Features Top sellers by store department Solution helps associates to be always up-to-date informing them on best-selling products, current promotions and trending customer interests. To maximize sales information compiled based on store sales analysis, sales/margin goals and can be controlled in real time by store management Trending website searches Current promotions
  • 11. Customer Identification Works in Different Ways Features Phone number Simple identification methods are available at any points of journey to support seamless and convenient shopping experience. Loyalty card can be scanned, swiped or entered by numbers. Just a second and sales associate gets all customer data at hand Loyalty card Order number (for pick-up orders)
  • 12. Actionable Customer OMNI Profile Features Segments and attributes Highly actionable customer profile provides associates with personalized recommendations, client interests and purchase history. In.store Platform built on top of RichRelevance products and Relevance Cloud empowers associates with customer unified cross-channel profile Single customer view and personalized recommendations Both online and offline customer data
  • 13. Smart Product Page Adjusts To Current Customer Features Designed for in-store usage Product page adjusting to current customer context guides through the key relevant product details and provides personalized up & cross sell recommendations. The page also “knows” when it’s better showing Similar items and when to show See Also items Real-time recommendations Adjusts to context and customer
  • 14. In-store Shopping Cart and Payment Methods Features Send to POS Offline cart checkout can be executed in different ways depending on the customer or payment method. The shopping cart can be sent by email Pay with mPOS Apply Coupons
  • 15. Features Actionable analytics for associates and managers Associate Dashboard is a space for recommended personal actions and data. The target is to provide sales people with the best advices based on their performance and aggregated data Customizable metrics and reports Associates Leaderboard Sales Associate Dashboard
  • 16. Features Self-improving algorithms Guided Sales let retailer sell faster and more. It can be flexibly used in stores and on website in a form of self- service kiosk or sales associate personal tool Both in-store and online tool Natural language questions Guided Sales Functionality Easily Turns Tablet Into Self-Service Mode
  • 17. Diginetica in.store is Powerful and Flexible Solution Customizable Cross-platform Responsive Short integration stage SDK for 3d party apps Integrates with 3rd party IT solutions
  • 18. Three-step Integration Lets Build Core in.store Functionality ERP CRM / Loyalty Integrate with Relevance Cloud Set up integration with ERP: catalog, stocks and other key master data Finalize integrating with Customer Relationships Data The initial integration of Diginetica in.store is a 3-stage process and takes around 3 months. Installing the hardware must be done within this timeframe
  • 19. Tablets: cloud platform vs. proprietary mobile website Mobile website in.store Platform Extended customer omni-profile (offline + online) No Yes Different modes: associate, director, self-service Limited Built-in Solution scalability & flexibility Limited Very high Cross-platform and Plug & Play architecture Limited Yes Analytics and reporting, integrations with BI systems and proactive recommendations Limited Yes Integrations with external solutions (analytics, mPOS, CRM, Internet of Things) Additional Development Built-in Store operations management: tasks, KPIs, announcements No Built-in