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Cheat Sheet: Salesforce Einstein
for Customer Service
Resolving Customer Inquiries with Automation and Agent Assistance
by Ivan Harris
Founder at Kraytix | Official Member at Forbes Technology Council | C-level product, Salesforce and AI leader |
Author of “Salesforce Einstein Bots Development: Using AI-Powered Chatbots to Enhance Customer Experience” (due end of 2020)
Salesforce®
is a trademark of Salesforce.com, inc. All screenshots are copyright © Salesforce.com, inc.
1April 2020 Copyright © 2020 Ivan Harris
Introduction
● Customer service departments are coming under increasing pressure due to customer growth, new service
channels, additional products/languages/territories to support and unexpected emergencies.
● This slide deck summarises Salesforce Einstein features that can be added to Salesforce Service Cloud.
Repetitive inquiries can be resolved using automation, allowing service agents to focus on more complex
issues. For inquiries that cannot be resolved automatically, Einstein-powered recommendations assist agents
in resolving an inquiry more quickly.
● Please do not make purchasing decisions based on this presentation, content is for guidance only, no warranty
is implied or given as to the accuracy of the information. Please contact Salesforce or your preferred Salesforce
Consultancy for further, up to date information, including pricing.
● Views are my own and I hope that you find it useful.
2April 2020 Copyright © 2020 Ivan Harris
Business
Challenges
3April 2020 Copyright © 2020 Ivan Harris
● Einstein Prediction Builder
● Einstein Vision
● Einstein Language
● Einstein Reply Recommendations
● Einstein Service Analytics
● Einstein Next Best Action
● Einstein Case Routing
● Einstein Bots (Conversational)
● Einstein Article Recommendation
● Einstein Case Classification
● Einstein Bots (Transactional)
Disruption to business operations can arrive
unexpectedly from many sources, including
natural disasters, terrorism, extreme weather
and health pandemics.
Having a robust plan to ensure business
continuity and recovery back to normal
operations is needed for the survival of your
business.
Throughout these circumstances, customer
service departments come under increased
pressure as customers seek assurance that they
can have continued access to the products or
services that you provide.
If this happens to you, can your customer service
department transition to remote, distributed
working with no perceptible impact on customer
satisfaction and service agent experience?
Is your team able to absorb the spike in customer
inquiries, where many will be repetitive inquiries
related to the emergency that you are managing?
Can you rapidly onboard additional personnel to
assist during the emergency, especially when
some will not be experienced service agents who
come from other parts of your business?
Offer customers the choice to self-service and
for those inquiries that need agent attention,
deflect to lower-cost text channels rather than
the more expensive voice channel.
Assist agents with templated answers to
repetitive customer inquiries, allowing existing
service agents to resolve inquiries faster and
inexperienced service agents to deliver value
sooner.
Automate the end-to-end resolution of highly
repetitive inquires, such as order status and
password reset, using process automation with
no agent involvement.
Business Challenge: Business Continuity and Disaster Recovery
4April 2020 Copyright © 2020 Ivan Harris
Problem SolutionChallenges
Short Term Medium Term Longer Term
Einstein
Features
5April 2020 Copyright © 2020 Ivan Harris
● Service Cloud (included with the Service Cloud User feature license)
○ Einstein Article Recommendations
● Service Cloud Einstein (add-on SKU)
○ Einstein Next Best Action
○ Einstein Case Classification
○ Einstein Case Routing
○ Einstein Service Analytics
● myEinstein Platform Services (usage based licensing)
○ Einstein Prediction Builder
○ Einstein Bots
○ Einstein Vision
○ Einstein Language
● Licensing TBD
○ Einstein Reply Recommendations (Pilot)
6April 2020
Einstein Features for Customer Service
Copyright © 2020 Ivan Harris
Help:
Trailhead:
Pricing:
Einstein recommends Knowledge
articles to attach to cases and send
to customers.
Fields on cases are used to predict
the most likely Knowledge articles
to recommend.
Recommendations appear in
Lightning Service Console using the
Knowledge Lightning component.
https://help.salesforce.com/articleView?id=einstein_article_recommendations_introduction.htm
None yet
https://www.salesforce.com/editions-pricing/service-cloud/
Available: In Enterprise,
Performance, and Unlimited
editions.
Pricing: Included with Service
Cloud license fee.
Only for Knowledge articles
written in English.
400+ Knowledge articles and
1000+ closed cases required.
Service Cloud: Einstein Article Recommendations
7April 2020 Copyright © 2020 Ivan Harris
Help service agents respond faster by recommending Knowledge articles that will help them resolve a customer’s inquiry.
Overview Prerequisites
Help:
Trailhead:
Pricing:
Make next best action
recommendations based on
customer data, business logic
Einstein Discovery models and
Einstein Prediction Builder models.
Automate fulfilling the
recommendation using Flows.
Recommendations appear in
Lightning Service Console using the
Einstein Next Best Action Lightning
component.
https://help.salesforce.com/articleView?id=einstein_next_best_action.htm
https://trailhead.salesforce.com/en/content/learn/modules/einstein-next-best-action
https://www.salesforce.com/editions-pricing/service-cloud/einstein/
Available: In Essentials,
Professional, Enterprise,
Performance, Unlimited, and
Developer editions.
Pricing: All orgs receive 5,000 Next
Best Action requests per month at
no charge. Purchase the Service
Cloud Einstein SKU at $50 pupm
for unlimited requests per user.
Purchase Einstein Next Best Action
Additional Requests SKU at $50 pm
for an additional 10,000 org-wide
requests.
Service Cloud Einstein: Einstein Next Best Action
8April 2020 Copyright © 2020 Ivan Harris
Build business logic to help guide service agents to make the right recommendation to customers at the right time.
Overview Prerequisites
Help:
Trailhead:
Pricing:
Einstein predicts case field values
based on the values set by service
agents in historical closed cases.
Recommends field values for
agents to select or automatically
populates fields based on Einstein
confidence levels.
Recommendations appear in
Lightning Service Console using the
Case Details Lightning component.
https://help.salesforce.com/articleView?id=cc_service_what_is.htm
https://trailhead.salesforce.com/en/content/learn/modules/service_case_class
https://www.salesforce.com/editions-pricing/service-cloud/einstein/
Available: In Enterprise,
Performance, and Unlimited
editions.
Pricing: Included in the Service
Cloud Einstein SKU at $50 pupm.
1,000+, preferably 10,000+
historical cases closed in the past
6-months. 100+ cases with the
field-value combination to predict.
Less than 100 values per field.
Supports checkbox and picklist
fields.
Service Cloud Einstein: Einstein Case Classification
9April 2020 Copyright © 2020 Ivan Harris
Save agents time and improve case data quality by recommending field values. Auto populate fields with high Einstein prediction confidence. Then automatically
route cases using auto-assignment rule.
Overview Prerequisites
Help:
Trailhead:
Pricing:
https://help.salesforce.com/articleView?id=omnichannel_einstein_case_routing.htm
None
https://www.salesforce.com/editions-pricing/service-cloud/einstein/
Automatically routes cases after
Einstein Case Classification has
auto-populated a field.
Available: In Enterprise,
Performance, and Unlimited
editions.
Pricing: No additional fees once you
have purchased Einstein Case
Classification, which is Included in
the Service Cloud Einstein SKU at
$50 pupm.
Service Cloud Einstein: Einstein Case Routing
10April 2020 Copyright © 2020 Ivan Harris
Use existing case assignment rules, Attribute Setup for Skills-Based Routing, custom routing or external routing to automatically route cases after Einstein Case
Classification has auto-populated a field value.
Overview Prerequisites
Help:
Trailhead:
Pricing:
https://help.salesforce.com/articleView?id=bi_app_service_wave.htm
https://trailhead.salesforce.com/content/learn/modules/service_wave_app_intro
https://www.salesforce.com/editions-pricing/service-cloud/einstein/
Service managers can use historical
performance, trending and KPI
data to visualize service
department performance.
Service agents can view case and
customer data to help make faster
and more informed decisions when
resolving inquiries.
Create an Analytics Template App
to view dashboards on desktop and
mobile devices.
Available: In Enterprise,
Performance, Unlimited and
Developer editions.
Pricing: Included in the Service
Cloud Einstein SKU at $50 pupm. If
you have an Analytics platform
license, it includes a Service
Analytics license.
Service Cloud Einstein: Einstein Service Analytics
11April 2020 Copyright © 2020 Ivan Harris
Get actionable insights into your Service Cloud data using pre-built dashboards and datasets that include historical performance, trending and industry standard
KPIs. Use the dashboards as-is, then modify and evolve them to suit your needs.
Overview Prerequisites
Help:
Trailhead:
Pricing:
https://help.salesforce.com/articleView?id=custom_ai_prediction_builder.htm
https://trailhead.salesforce.com/en/content/learn/modules/einstein-prediction-builder
https://www.salesforce.com/products/einstein-analytics/pricing/
Predict case field values (see the
prerequisites panel for supported
field types) using historical case
field values.
Add Einstein to Next Best Action to
include predicted customer
interests, behaviours and actions
when making a recommendation.
Available: In Enterprise,
Performance, Unlimited and
Developer editions.
Pricing: Included in the Einstein
Predictions SKU at $75 pupm (20
predictions, enable 10 at a time )
and the Einstein Analytics Plus SKU
at $150 pupm (45 predictions,
enable 35 at a time).
Supports Checkbox, formula text
fields that return TRUE, FALSE, or
NULL and numeric (beta) fields.
Minimum of 400 records required
for training Einstein with 100
records per field value.
myEinstein Platform Services: Einstein Prediction Builder
12April 2020 Copyright © 2020 Ivan Harris
Enhance business processes by including predicted customer interests, behaviours and actions based on similar customers to power workflows and make more
informed decisions.
Overview Prerequisites
Help:
Trailhead:
Pricing:
https://help.salesforce.com/articleView?id=bots_service_intro.htm
https://trailhead.salesforce.com/en/content/learn/modules/service_bots_basics
https://www.salesforce.com/editions-pricing/service-cloud/digital-engagement/
Add Einstein Bots to Chat and
Messaging (SMS, Facebook
Messenger and WhatsApp)
channels.
Build transactional bots (menu
driven) or conversational bots
(using Natural Language
Processing).
Automate business processes,
including integrating with back
office systems, using Lightning
Flow.
Gather information using pre-chat
forms and transfer to agents for
resolution.
Available: In Enterprise,
Performance, Unlimited, and
Developer editions.
Pricing: Included in the Digital
Engagement SKU at $75 pupm
(includes 25 bot conversations
pupm ). Additional bot
conversations $50 for 100
conversations per month.
myEinstein Platform Services: Einstein Bots
13April 2020 Copyright © 2020 Ivan Harris
Partially or fully automate the resolution of repetitive customer inquiries to allow service agents to focus on more complex ones.
Overview Prerequisites
Help:
Trailhead:
Pricing:
https://metamind.readme.io/docs/introduction-to-the-einstein-predictive-vision-service
https://trailhead.salesforce.com/en/content/learn/projects/predictive_vision_apex
https://c1.sfdcstatic.com/content/dam/web/en_us/www/documents/pricing/all-add-ons.pdf
Use pre-built models to recognise
and classify images or build your
own.
Use pre-built models or create your
own to identify object count, size
and location in an image.
Available: In Professional,
Enterprise, Unlimited, and
Developer editions.
Pricing: $4,000 for 1 million
predictions/month.
myEinstein Platform Services: Einstein Vision
14April 2020 Copyright © 2020 Ivan Harris
Use deep learning models for image recognition to be used for product identification and search.
Overview Prerequisites
Help:
Trailhead:
Pricing:
https://metamind.readme.io/docs/intro-to-einstein-language
https://trailhead.salesforce.com/en/content/learn/modules/einstein_intent_basics/einstein_intent_basics_prep
https://c1.sfdcstatic.com/content/dam/web/en_us/www/documents/pricing/all-add-ons.pdf
Use customizable intent analysis
models to understand the meaning
of a customers question.
Pre-trained sentiment models allow
you to classify a customers
question into positive, neutral or
negative sentiment.
Available: In Professional,
Enterprise, Unlimited, and
Developer editions.
Pricing: $4,000 for 1 million
predictions/month.
myEinstein Platform Services: Einstein Language
15April 2020 Copyright © 2020 Ivan Harris
Develop custom applications that include natural language processing for intent and sentiment analysis.
Overview Prerequisites
Help:
Trailhead:
Pricing:
Einstein recommends replies to
customer inquiries on the Chat
channel. Agents can post the reply
as is or edit it.
Historical closed chat transcripts
are analysed to create suggested
replies, which can be edited and
approved.
Suggestions appear in the Einstein
Suggestions Card in the Lightning
Service Console.
None yet
None yet
TBC when GA
Available: In Enterprise,
Performance, Unlimited, and
Developer editions.
Pricing: TBC when GA.
Available in English with limited
support for other languages.
10,000+ closed English chat
transcripts required.
Licensing TBC: Einstein Reply Recommendations (Pilot)
16April 2020 Copyright © 2020 Ivan Harris
Improve chat inquiry response times and increase the number of concurrent chat conversations that a service agent can conduct by recommending responses to
chat channel inquiries.
Overview Prerequisites
Thank You!
Ivan Harris
Email: ivan.harris@kraytix.com
Website: https://www.kraytix.com
LinkedIn: http://uk.linkedin.com/in/ivanharris
Twitter: https://twitter.com/IvanDavidHarris
Trailblazer: https://trailblazer.me/id/ivanharris
Forbes: https://bit.ly/2x8lLbk
17April 2020 Copyright © 2020 Ivan Harris

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Cheat Sheet: Salesforce Einstein for Customer Service

  • 1. Cheat Sheet: Salesforce Einstein for Customer Service Resolving Customer Inquiries with Automation and Agent Assistance by Ivan Harris Founder at Kraytix | Official Member at Forbes Technology Council | C-level product, Salesforce and AI leader | Author of “Salesforce Einstein Bots Development: Using AI-Powered Chatbots to Enhance Customer Experience” (due end of 2020) Salesforce® is a trademark of Salesforce.com, inc. All screenshots are copyright © Salesforce.com, inc. 1April 2020 Copyright © 2020 Ivan Harris
  • 2. Introduction ● Customer service departments are coming under increasing pressure due to customer growth, new service channels, additional products/languages/territories to support and unexpected emergencies. ● This slide deck summarises Salesforce Einstein features that can be added to Salesforce Service Cloud. Repetitive inquiries can be resolved using automation, allowing service agents to focus on more complex issues. For inquiries that cannot be resolved automatically, Einstein-powered recommendations assist agents in resolving an inquiry more quickly. ● Please do not make purchasing decisions based on this presentation, content is for guidance only, no warranty is implied or given as to the accuracy of the information. Please contact Salesforce or your preferred Salesforce Consultancy for further, up to date information, including pricing. ● Views are my own and I hope that you find it useful. 2April 2020 Copyright © 2020 Ivan Harris
  • 4. ● Einstein Prediction Builder ● Einstein Vision ● Einstein Language ● Einstein Reply Recommendations ● Einstein Service Analytics ● Einstein Next Best Action ● Einstein Case Routing ● Einstein Bots (Conversational) ● Einstein Article Recommendation ● Einstein Case Classification ● Einstein Bots (Transactional) Disruption to business operations can arrive unexpectedly from many sources, including natural disasters, terrorism, extreme weather and health pandemics. Having a robust plan to ensure business continuity and recovery back to normal operations is needed for the survival of your business. Throughout these circumstances, customer service departments come under increased pressure as customers seek assurance that they can have continued access to the products or services that you provide. If this happens to you, can your customer service department transition to remote, distributed working with no perceptible impact on customer satisfaction and service agent experience? Is your team able to absorb the spike in customer inquiries, where many will be repetitive inquiries related to the emergency that you are managing? Can you rapidly onboard additional personnel to assist during the emergency, especially when some will not be experienced service agents who come from other parts of your business? Offer customers the choice to self-service and for those inquiries that need agent attention, deflect to lower-cost text channels rather than the more expensive voice channel. Assist agents with templated answers to repetitive customer inquiries, allowing existing service agents to resolve inquiries faster and inexperienced service agents to deliver value sooner. Automate the end-to-end resolution of highly repetitive inquires, such as order status and password reset, using process automation with no agent involvement. Business Challenge: Business Continuity and Disaster Recovery 4April 2020 Copyright © 2020 Ivan Harris Problem SolutionChallenges Short Term Medium Term Longer Term
  • 6. ● Service Cloud (included with the Service Cloud User feature license) ○ Einstein Article Recommendations ● Service Cloud Einstein (add-on SKU) ○ Einstein Next Best Action ○ Einstein Case Classification ○ Einstein Case Routing ○ Einstein Service Analytics ● myEinstein Platform Services (usage based licensing) ○ Einstein Prediction Builder ○ Einstein Bots ○ Einstein Vision ○ Einstein Language ● Licensing TBD ○ Einstein Reply Recommendations (Pilot) 6April 2020 Einstein Features for Customer Service Copyright © 2020 Ivan Harris
  • 7. Help: Trailhead: Pricing: Einstein recommends Knowledge articles to attach to cases and send to customers. Fields on cases are used to predict the most likely Knowledge articles to recommend. Recommendations appear in Lightning Service Console using the Knowledge Lightning component. https://help.salesforce.com/articleView?id=einstein_article_recommendations_introduction.htm None yet https://www.salesforce.com/editions-pricing/service-cloud/ Available: In Enterprise, Performance, and Unlimited editions. Pricing: Included with Service Cloud license fee. Only for Knowledge articles written in English. 400+ Knowledge articles and 1000+ closed cases required. Service Cloud: Einstein Article Recommendations 7April 2020 Copyright © 2020 Ivan Harris Help service agents respond faster by recommending Knowledge articles that will help them resolve a customer’s inquiry. Overview Prerequisites
  • 8. Help: Trailhead: Pricing: Make next best action recommendations based on customer data, business logic Einstein Discovery models and Einstein Prediction Builder models. Automate fulfilling the recommendation using Flows. Recommendations appear in Lightning Service Console using the Einstein Next Best Action Lightning component. https://help.salesforce.com/articleView?id=einstein_next_best_action.htm https://trailhead.salesforce.com/en/content/learn/modules/einstein-next-best-action https://www.salesforce.com/editions-pricing/service-cloud/einstein/ Available: In Essentials, Professional, Enterprise, Performance, Unlimited, and Developer editions. Pricing: All orgs receive 5,000 Next Best Action requests per month at no charge. Purchase the Service Cloud Einstein SKU at $50 pupm for unlimited requests per user. Purchase Einstein Next Best Action Additional Requests SKU at $50 pm for an additional 10,000 org-wide requests. Service Cloud Einstein: Einstein Next Best Action 8April 2020 Copyright © 2020 Ivan Harris Build business logic to help guide service agents to make the right recommendation to customers at the right time. Overview Prerequisites
  • 9. Help: Trailhead: Pricing: Einstein predicts case field values based on the values set by service agents in historical closed cases. Recommends field values for agents to select or automatically populates fields based on Einstein confidence levels. Recommendations appear in Lightning Service Console using the Case Details Lightning component. https://help.salesforce.com/articleView?id=cc_service_what_is.htm https://trailhead.salesforce.com/en/content/learn/modules/service_case_class https://www.salesforce.com/editions-pricing/service-cloud/einstein/ Available: In Enterprise, Performance, and Unlimited editions. Pricing: Included in the Service Cloud Einstein SKU at $50 pupm. 1,000+, preferably 10,000+ historical cases closed in the past 6-months. 100+ cases with the field-value combination to predict. Less than 100 values per field. Supports checkbox and picklist fields. Service Cloud Einstein: Einstein Case Classification 9April 2020 Copyright © 2020 Ivan Harris Save agents time and improve case data quality by recommending field values. Auto populate fields with high Einstein prediction confidence. Then automatically route cases using auto-assignment rule. Overview Prerequisites
  • 10. Help: Trailhead: Pricing: https://help.salesforce.com/articleView?id=omnichannel_einstein_case_routing.htm None https://www.salesforce.com/editions-pricing/service-cloud/einstein/ Automatically routes cases after Einstein Case Classification has auto-populated a field. Available: In Enterprise, Performance, and Unlimited editions. Pricing: No additional fees once you have purchased Einstein Case Classification, which is Included in the Service Cloud Einstein SKU at $50 pupm. Service Cloud Einstein: Einstein Case Routing 10April 2020 Copyright © 2020 Ivan Harris Use existing case assignment rules, Attribute Setup for Skills-Based Routing, custom routing or external routing to automatically route cases after Einstein Case Classification has auto-populated a field value. Overview Prerequisites
  • 11. Help: Trailhead: Pricing: https://help.salesforce.com/articleView?id=bi_app_service_wave.htm https://trailhead.salesforce.com/content/learn/modules/service_wave_app_intro https://www.salesforce.com/editions-pricing/service-cloud/einstein/ Service managers can use historical performance, trending and KPI data to visualize service department performance. Service agents can view case and customer data to help make faster and more informed decisions when resolving inquiries. Create an Analytics Template App to view dashboards on desktop and mobile devices. Available: In Enterprise, Performance, Unlimited and Developer editions. Pricing: Included in the Service Cloud Einstein SKU at $50 pupm. If you have an Analytics platform license, it includes a Service Analytics license. Service Cloud Einstein: Einstein Service Analytics 11April 2020 Copyright © 2020 Ivan Harris Get actionable insights into your Service Cloud data using pre-built dashboards and datasets that include historical performance, trending and industry standard KPIs. Use the dashboards as-is, then modify and evolve them to suit your needs. Overview Prerequisites
  • 12. Help: Trailhead: Pricing: https://help.salesforce.com/articleView?id=custom_ai_prediction_builder.htm https://trailhead.salesforce.com/en/content/learn/modules/einstein-prediction-builder https://www.salesforce.com/products/einstein-analytics/pricing/ Predict case field values (see the prerequisites panel for supported field types) using historical case field values. Add Einstein to Next Best Action to include predicted customer interests, behaviours and actions when making a recommendation. Available: In Enterprise, Performance, Unlimited and Developer editions. Pricing: Included in the Einstein Predictions SKU at $75 pupm (20 predictions, enable 10 at a time ) and the Einstein Analytics Plus SKU at $150 pupm (45 predictions, enable 35 at a time). Supports Checkbox, formula text fields that return TRUE, FALSE, or NULL and numeric (beta) fields. Minimum of 400 records required for training Einstein with 100 records per field value. myEinstein Platform Services: Einstein Prediction Builder 12April 2020 Copyright © 2020 Ivan Harris Enhance business processes by including predicted customer interests, behaviours and actions based on similar customers to power workflows and make more informed decisions. Overview Prerequisites
  • 13. Help: Trailhead: Pricing: https://help.salesforce.com/articleView?id=bots_service_intro.htm https://trailhead.salesforce.com/en/content/learn/modules/service_bots_basics https://www.salesforce.com/editions-pricing/service-cloud/digital-engagement/ Add Einstein Bots to Chat and Messaging (SMS, Facebook Messenger and WhatsApp) channels. Build transactional bots (menu driven) or conversational bots (using Natural Language Processing). Automate business processes, including integrating with back office systems, using Lightning Flow. Gather information using pre-chat forms and transfer to agents for resolution. Available: In Enterprise, Performance, Unlimited, and Developer editions. Pricing: Included in the Digital Engagement SKU at $75 pupm (includes 25 bot conversations pupm ). Additional bot conversations $50 for 100 conversations per month. myEinstein Platform Services: Einstein Bots 13April 2020 Copyright © 2020 Ivan Harris Partially or fully automate the resolution of repetitive customer inquiries to allow service agents to focus on more complex ones. Overview Prerequisites
  • 14. Help: Trailhead: Pricing: https://metamind.readme.io/docs/introduction-to-the-einstein-predictive-vision-service https://trailhead.salesforce.com/en/content/learn/projects/predictive_vision_apex https://c1.sfdcstatic.com/content/dam/web/en_us/www/documents/pricing/all-add-ons.pdf Use pre-built models to recognise and classify images or build your own. Use pre-built models or create your own to identify object count, size and location in an image. Available: In Professional, Enterprise, Unlimited, and Developer editions. Pricing: $4,000 for 1 million predictions/month. myEinstein Platform Services: Einstein Vision 14April 2020 Copyright © 2020 Ivan Harris Use deep learning models for image recognition to be used for product identification and search. Overview Prerequisites
  • 15. Help: Trailhead: Pricing: https://metamind.readme.io/docs/intro-to-einstein-language https://trailhead.salesforce.com/en/content/learn/modules/einstein_intent_basics/einstein_intent_basics_prep https://c1.sfdcstatic.com/content/dam/web/en_us/www/documents/pricing/all-add-ons.pdf Use customizable intent analysis models to understand the meaning of a customers question. Pre-trained sentiment models allow you to classify a customers question into positive, neutral or negative sentiment. Available: In Professional, Enterprise, Unlimited, and Developer editions. Pricing: $4,000 for 1 million predictions/month. myEinstein Platform Services: Einstein Language 15April 2020 Copyright © 2020 Ivan Harris Develop custom applications that include natural language processing for intent and sentiment analysis. Overview Prerequisites
  • 16. Help: Trailhead: Pricing: Einstein recommends replies to customer inquiries on the Chat channel. Agents can post the reply as is or edit it. Historical closed chat transcripts are analysed to create suggested replies, which can be edited and approved. Suggestions appear in the Einstein Suggestions Card in the Lightning Service Console. None yet None yet TBC when GA Available: In Enterprise, Performance, Unlimited, and Developer editions. Pricing: TBC when GA. Available in English with limited support for other languages. 10,000+ closed English chat transcripts required. Licensing TBC: Einstein Reply Recommendations (Pilot) 16April 2020 Copyright © 2020 Ivan Harris Improve chat inquiry response times and increase the number of concurrent chat conversations that a service agent can conduct by recommending responses to chat channel inquiries. Overview Prerequisites
  • 17. Thank You! Ivan Harris Email: ivan.harris@kraytix.com Website: https://www.kraytix.com LinkedIn: http://uk.linkedin.com/in/ivanharris Twitter: https://twitter.com/IvanDavidHarris Trailblazer: https://trailblazer.me/id/ivanharris Forbes: https://bit.ly/2x8lLbk 17April 2020 Copyright © 2020 Ivan Harris