Compare Sprinklr Service and Verint Workforce Management 
At a Glance
Market Segments
Enterprise (42.4% of reviews)
Enterprise (54.9% of reviews)
Entry-Level Pricing
$4,200.00 1 User Per Year
No pricing available
Sprinklr Service
Star Rating
(733)4.3 out of 5
Market Segments
Enterprise (42.4% of reviews)
Pros & Cons
Entry-Level Pricing
$4,200.00 1 User Per Year
Free Trial is available
Browse all 3 pricing plansVerint Workforce Management
Star Rating
(178)4.2 out of 5
Market Segments
Enterprise (54.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Verint Workforce ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Verint Workforce Management excels in forecasting and scheduling, with users appreciating its ability to track agent adherence in real-time. One user highlighted the effectiveness of the forecasting engine and mobile app, which they consider among the best features.
- Users say that Sprinklr Service offers a simple and intuitive setup, making it easy for new users to get started. Reviewers have noted that the platform allows for seamless engagement with clients across various social media platforms, consolidating information in one place for easier management.
- According to verified reviews, Verint Workforce Management has a higher overall satisfaction score, indicating that users feel it meets their needs more effectively. Reviewers have praised its configuration capabilities for activities and campaigns, which contribute to improved workforce planning accuracy.
- Reviewers mention that while Sprinklr Service provides a solid user experience, it faces challenges in performance analysis compared to Verint. Users have noted that Verint's tools for performance tracking and intraday management are particularly robust, helping managers maintain operational efficiency.
- G2 reviewers highlight that both products have strong support features, but Sprinklr Service edges out slightly with a higher quality of support rating. Users appreciate the feedback process and the ability to categorize tasks to manage heavy queues effectively.
- Users report that Verint Workforce Management is particularly strong in agent availability and shift scheduling, with many praising its user-friendly interface for managing these aspects. In contrast, while Sprinklr Service also offers these features, some users feel it could improve in these areas to match Verint's capabilities.
Pricing
Entry-Level Pricing
Sprinklr Service
Digital + Voice Package- Service 2
$4,200.00
1 User Per Year
Voice, live chat & messaging:
Provide seamless
experiences across 30+ digital channels and robust
support on Voice. Use AI and automation to increase selfservice, improve agent productivity and boost customer
satisfaction
- Live chat, SMS, Email
- Inbound/Outbound Voice
- Proactive Prompts
Verint Workforce Management
No pricing availableFree Trial
Sprinklr Service
Free Trial is available
Verint Workforce Management
No trial information availableRatings
Meets Requirements
8.5
594
8.4
96
Ease of Use
8.2
617
8.4
140
Ease of Setup
7.9
453
7.8
91
Ease of Admin
8.1
237
7.9
37
Quality of Support
8.1
578
8.1
92
Has the product been a good partner in doing business?
8.6
238
8.5
37
Product Direction (% positive)
8.7
600
8.1
97
Features by Category
Ticket and Case Management
8.6
69
|
Verified
Not enough data
8.5
71
|
Verified
Not enough data
8.6
73
|
Verified
Not enough data
7.9
69
|
Verified
Not enough data
8.0
64
|
Verified
Not enough data
8.3
69
|
Verified
Not enough data
8.3
67
|
Verified
Not enough data
8.2
70
|
Verified
Not enough data
Generative AI
7.4
45
Not enough data
7.0
46
Not enough data
Agentic AI - Help Desk
6.9
18
Not enough data
6.9
18
Not enough data
7.1
18
Not enough data
Communication Channels
8.1
63
|
Verified
Not enough data
8.1
64
|
Verified
Not enough data
7.8
68
|
Verified
Not enough data
8.9
67
|
Verified
Not enough data
7.0
59
Not enough data
Platform
7.6
72
|
Verified
Not enough data
7.8
140
|
Verified
Not enough data
8.6
79
|
Verified
Not enough data
8.2
76
|
Verified
Not enough data
8.9
84
|
Verified
Not enough data
8.9
85
|
Verified
Not enough data
Administration
8.6
50
Not enough data
8.4
47
Not enough data
8.4
47
Not enough data
Knowledge Management
8.4
48
Not enough data
8.3
47
Not enough data
8.7
52
Not enough data
Compliance
8.3
48
Not enough data
8.5
48
Not enough data
8.5
45
Not enough data
8.3
44
Not enough data
Customer Support
8.0
46
Not enough data
8.1
44
Not enough data
7.9
45
Not enough data
Data Security
8.4
45
Not enough data
8.4
45
Not enough data
8.6
48
Not enough data
8.6
47
Not enough data
Administration
8.5
45
Not enough data
8.6
44
Not enough data
8.6
45
Not enough data
Generative AI
7.3
41
Not enough data
Call Analytics
5.7
33
Not enough data
6.0
35
Not enough data
5.6
31
Not enough data
6.1
31
Not enough data
Artificial Intelligence - Conversation Intelligence
6.3
34
Not enough data
5.8
31
Not enough data
Not enough data
Not enough data
Generative AI
6.3
30
Not enough data
Agentic AI - Conversation Intelligence
5.9
11
Not enough data
6.7
11
Not enough data
6.1
11
Not enough data
6.4
11
Not enough data
6.4
11
Not enough data
6.7
12
Not enough data
6.8
12
Not enough data
Quality Assurance
8.2
51
Not enough data
7.9
50
Not enough data
8.4
51
Not enough data
Engagement
8.1
51
Not enough data
8.0
50
Not enough data
7.7
48
Not enough data
Performance
7.9
49
Not enough data
8.3
46
Not enough data
Generative AI
6.9
42
Not enough data
7.2
41
Not enough data
Channels
6.9
142
Not enough data
8.4
145
Not enough data
7.9
138
Not enough data
7.5
140
Not enough data
7.6
135
Not enough data
Generative AI
6.6
113
Not enough data
Functions
7.5
139
Not enough data
7.6
132
Not enough data
7.3
134
Not enough data
7.3
132
Not enough data
6.8
131
Not enough data
7.1
135
Not enough data
7.6
128
Not enough data
8.0
129
Not enough data
Agentic AI - Contact Center
5.9
22
Not enough data
6.7
22
Not enough data
6.2
22
Not enough data
6.5
22
Not enough data
Administrative
7.8
130
Not enough data
7.8
130
Not enough data
8.4
144
Not enough data
7.8
131
Not enough data
7.9
142
Not enough data
Responses
8.5
57
Not enough data
8.5
57
Not enough data
8.5
57
Not enough data
8.6
55
Not enough data
8.3
53
Not enough data
Platform
8.5
54
Not enough data
8.4
56
Not enough data
8.5
56
Not enough data
8.7
56
Not enough data
8.1
51
Not enough data
8.4
56
Not enough data
8.2
53
Not enough data
Generative AI
7.9
38
Not enough data
7.8
37
Not enough data
Workforce Management
9.0
33
8.3
38
|
Verified
8.2
33
8.2
36
|
Verified
8.1
34
8.5
39
|
Verified
8.1
33
8.0
35
|
Verified
8.1
32
7.5
29
|
Verified
Administration
7.8
36
7.7
34
|
Verified
8.7
35
7.8
37
|
Verified
8.6
36
7.8
36
|
Verified
8.1
33
7.9
37
|
Verified
8.1
35
8.4
37
|
Verified
Generative AI
7.8
74
Not enough data
7.4
72
Not enough data
7.2
72
Not enough data
Communication
7.9
101
|
Verified
Not enough data
8.3
111
|
Verified
Not enough data
7.6
98
Not enough data
8.3
101
Not enough data
7.3
95
Not enough data
Internal Use
7.8
140
|
Verified
Not enough data
8.1
108
|
Verified
Not enough data
7.9
101
Not enough data
8.4
101
Not enough data
8.0
102
|
Verified
Not enough data
8.1
108
|
Verified
Not enough data
Generative AI
7.5
41
Not enough data
Self-Service Experience
8.0
53
Not enough data
7.6
54
Not enough data
7.3
53
Not enough data
8.1
51
Not enough data
7.6
52
Not enough data
Self-Service Platform
8.1
53
Not enough data
7.8
52
Not enough data
7.5
54
Not enough data
7.7
54
Not enough data
Agentic AI - Customer Self-Service
6.5
8
Not enough data
7.1
8
Not enough data
8.1
8
Not enough data
7.3
8
Not enough data
7.5
8
Not enough data
7.9
8
Not enough data
7.3
8
Not enough data
Generative AI
6.9(won by default)
230
Not enough data
6.8(won by default)
223
Not enough data
Process
8.3(won by default)
314
Not enough data
7.7(won by default)
309
Not enough data
8.2(won by default)
310
Not enough data
Channels
7.3(won by default)
284
Not enough data
8.8(won by default)
336
Not enough data
7.2(won by default)
277
Not enough data
6.6(won by default)
266
Not enough data
7.5(won by default)
272
Not enough data
Insight
7.7(won by default)
294
Not enough data
8.3(won by default)
318
Not enough data
7.9(won by default)
286
Not enough data
7.6(won by default)
285
Not enough data
Generative AI
7.8
12
Not enough data
Generative AI
7.1
103
Not enough data
7.0
103
Not enough data
Conversational AI - Conversational Commerce Platforms
5.6
31
Not enough data
6.2
31
Not enough data
6.0
31
Not enough data
5.3
30
Not enough data
5.8
30
Not enough data
Platform integration - Conversational Commerce Platforms
5.8
30
Not enough data
5.6
30
Not enough data
5.7
30
Not enough data
5.9
29
Not enough data
Analytics and Reporting - Conversational Commerce Platforms
7.2
29
Not enough data
7.1
29
Not enough data
Customer Query Resolution - AI Customer Support Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customer Interaction Automation - AI Customer Support Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Feature Not Available
Not enough data
7.4
37
Not enough data
7.6
35
Not enough data
8.4
45
Not enough data
8.4
46
Not enough data
7.7
36
Not enough data
7.9
43
Not enough data
8.1
41
Workforce Management Platform Features
Not enough data
8.2
60
Not enough data
8.5
66
Not enough data
8.7
67
Not enough data
8.0
67
Not enough data
7.9
61
Not enough data
Feature Not Available
Not enough data
8.3
62
Not enough data
7.8
59
Not enough data
7.3
47
Not enough data
Feature Not Available
Categories
Categories
Shared Categories
Sprinklr Service and Verint Workforce Management are categorized as Contact Center Workforce
Unique Categories
Sprinklr Service is categorized as Conversational Commerce Platforms, Digital Customer Service Platforms, Contact Center Quality Assurance, Speech Analytics, Conversation Intelligence, Contact Center Knowledge Base, Chatbots, Social Customer Service, Live Chat, Help Desk, Contact Center, Customer Self-Service, and AI Customer Support Agents
Verint Workforce Management is categorized as Workforce Management
Reviews
Reviewers' Company Size
Sprinklr Service
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Verint Workforce Management
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Consumer Services
11.0%
Marketing and Advertising
10.5%
Information Technology and Services
5.4%
Financial Services
5.1%
Food & Beverages
3.9%
Other
64.1%
Insurance
13.3%
Financial Services
11.0%
Information Technology and Services
8.7%
Hospital & Health Care
7.5%
Telecommunications
6.4%
Other
53.2%
Alternatives
Discussions
Does anyone have experience with Sprinklr sentiment analysis
1 Comment
G2
i have really lost alot of money in the name of bitcoin mining and binary trading because i kept meeting the wrong managers ,.... it is sad that i have...Read more
Sprinklr Service has no more discussions with answers
What are the benefits and drawbacks of using Verint Workforce Management for employee scheduling?
1 Comment
AT
Verint Workforce Management (WFM) is an AI-powered workforce management software that is designed to ensure that the right people are scheduled at the right...Read more
What is Verint Workforce Management used for?
1 Comment
KS
Workforce planning and scheduling of resources including forecasting and resourcing scheduling rulesRead more
How do you request time off in Verint?
1 Comment
AT
When you want to schedule time off, you can submit a request for approval. First, go to My Home, then under My Requests, select Time Off Calendar. Then...Read more
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