Compare MRPeasy and Tulip 
At a Glance
Market Segments
Small-Business (85.4% of reviews)
Mid-Market (41.7% of reviews)
Entry-Level Pricing
$49.00 1 Users Per Month
$100.00 1 interfaces Per Month
MRPeasy
Star Rating
(50)4.6 out of 5
Market Segments
Small-Business (85.4% of reviews)
Pros & Cons
Entry-Level Pricing
$49.00 1 Users Per Month
Free Trial is available
Browse all 4 pricing plansTulip
Star Rating
(36)4.5 out of 5
Market Segments
Mid-Market (41.7% of reviews)
Pros & Cons
Entry-Level Pricing
$100.00 1 interfaces Per Month
Browse all 4 pricing plansMRPeasy vs Tulip
When assessing the two solutions, reviewers found Tulip easier to use and do business with overall. However, reviewers felt that MRPeasy is easier to set up. Both products were equally easy to administer.
- Reviewers felt that MRPeasy meets the needs of their business better than Tulip.
- When comparing quality of ongoing product support, reviewers felt that Tulip is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Tulip over MRPeasy.
Pricing
Entry-Level Pricing
MRPeasy
Starter
$49.00
1 Users Per Month
Starter Edition: Ideal for small businesses starting with basic functionalities.
- Production Planning and Reporting
- BOM Management
- Drag and Drop Rescheduling
Tulip
Essentials
$100.00
1 interfaces Per Month
Guide operations with digital workflows.
Ideal for basic production visibility, quality, and assembly workflows.
- Apps on mobile, desktop, touchscreens, and wearables
- Tulip Tables
- Tulip Analytics
Free Trial
MRPeasy
Free Trial is available
Tulip
Free Trial is available
Ratings
Meets Requirements
8.7
42
8.4
28
Ease of Use
8.7
42
8.8
30
Ease of Setup
8.2
33
8.0
22
Ease of Admin
8.5
19
8.5
19
Quality of Support
8.8
42
9.0
28
Has the product been a good partner in doing business?
8.5
19
9.3
19
Product Direction (% positive)
9.4
42
10.0
29
Features by Category
Planning
7.9
12
Not enough data
8.8
13
Not enough data
8.7
13
Not enough data
8.2
14
Not enough data
Scheduling
8.1
13
Not enough data
8.2
12
Not enough data
8.6
12
Not enough data
Agentic AI - Advanced Planning and Scheduling (APS)
Not enough data
Not enough data
Front-Office
7.7
5
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Manufacturing
8.6
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
Back-Office
7.8
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
Agentic AI - Job Shop Management
Not enough data
Not enough data
Not enough data
Not enough data
Workflow & Automation
Not enough data
8.7
10
Not enough data
9.2
11
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Execution
Not enough data
8.7
9
Not enough data
8.3
10
Not enough data
8.3
11
Analytics & Reporting
Not enough data
9.1
11
Not enough data
9.4
11
Not enough data
8.8
11
Enterprise Management
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
Knowledge Capture
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.8
8
Agentic AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data & Integration
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
7.8
9
Not enough data
7.4
9
Not enough data
8.3
8
Not enough data
9.3
9
Not enough data
7.5
8
Analytics
Not enough data
8.3
9
Not enough data
8.9
9
Not enough data
7.4
9
Agentic AI - Manufacturing Intelligence
Not enough data
Not enough data
Guide Options
Not enough data
8.8
11
Not enough data
9.4
13
Not enough data
8.6
13
Not enough data
8.1
12
Not enough data
8.5
12
Guide Tools
Not enough data
8.2
10
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
7.8
12
Access Options
Not enough data
6.8
10
Not enough data
7.7
11
Not enough data
8.2
10
Accounting
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Inventory & Warehouse
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
Purchasing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Sales & Marketing
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
Manufacturing
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
Quality Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Distribution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
HR
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Discrete ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounting
7.5
10
Not enough data
7.2
10
Not enough data
7.5
10
Not enough data
6.1
9
Not enough data
5.8
8
Not enough data
6.0
8
Not enough data
7.2
9
Not enough data
5.2
7
Not enough data
4.8
7
Not enough data
4.4
6
Not enough data
5.6
6
Not enough data
5.8
6
Not enough data
5.8
6
Not enough data
6.4
6
Not enough data
5.0
5
Not enough data
5.0
5
Not enough data
4.7
5
Not enough data
4.7
5
Not enough data
Back Office
6.1
6
Not enough data
6.4
6
Not enough data
5.8
6
Not enough data
5.8
8
Not enough data
5.8
6
Not enough data
2.7
5
Not enough data
3.9
6
Not enough data
7.4
9
Not enough data
6.7
6
Not enough data
6.2
7
Not enough data
6.4
6
Not enough data
6.1
6
Not enough data
6.1
6
Not enough data
4.5
7
Not enough data
Front Office
7.1
7
Not enough data
5.3
6
Not enough data
5.8
6
Not enough data
6.3
8
Not enough data
5.6
6
Not enough data
4.7
6
Not enough data
4.7
6
Not enough data
5.8
8
Not enough data
6.2
7
Not enough data
5.7
7
Not enough data
7.2
9
Not enough data
5.2
7
Not enough data
5.0
6
Not enough data
4.7
6
Not enough data
5.8
6
Not enough data
6.1
6
Not enough data
Integration
6.4
7
Not enough data
5.4
8
Not enough data
5.5
7
Not enough data
Logistics
7.9
8
Not enough data
6.9
7
Not enough data
7.3
8
Not enough data
6.7
8
Not enough data
6.9
8
Not enough data
7.7
8
Not enough data
6.9
8
Not enough data
6.9
6
Not enough data
6.9
8
Not enough data
6.3
8
Not enough data
Platform
7.1
8
Not enough data
7.1
7
Not enough data
7.5
8
Not enough data
8.5
8
Not enough data
8.1
8
Not enough data
7.1
7
Not enough data
Production
8.1
8
Not enough data
5.8
8
Not enough data
7.4
7
Not enough data
6.0
8
Not enough data
7.1
7
Not enough data
6.9
7
Not enough data
8.1
8
Not enough data
7.5
8
Not enough data
5.8
8
Not enough data
6.0
8
Not enough data
4.8
7
Not enough data
5.7
7
Not enough data
Reporting & Analytics
5.0
8
Not enough data
6.3
8
Not enough data
6.0
8
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - ERP Systems
Not enough data
Not enough data
Multichannel inventory management
7.7
22
Not enough data
7.0
20
Not enough data
6.8
19
Not enough data
3PL inventory management
6.6
21
Not enough data
6.5
18
Not enough data
7.0
20
Not enough data
Inventory Management
8.4
23
Not enough data
7.9
24
Not enough data
7.8
20
Not enough data
7.6
25
Not enough data
6.9
24
Not enough data
Inventory Management Platform Features
8.9
26
Not enough data
8.3
26
Not enough data
8.3
27
Not enough data
8.5
25
Not enough data
8.0
23
Not enough data
7.2
22
Not enough data
7.4
25
Not enough data
6.9
25
Not enough data
8.0
24
Not enough data
8.5
27
Not enough data
Systems Management
Not enough data
7.8
12
Not enough data
9.0
14
Not enough data
8.8
13
Not enough data
8.8
14
Not enough data
7.5
12
Not enough data
8.4
15
IoT Capabilities
Not enough data
8.1
14
Not enough data
8.2
13
Not enough data
8.1
12
Not enough data
8.2
12
Not enough data
8.8
13
Not enough data
9.1
13
Not enough data
7.9
12
Not enough data
8.2
14
Agentic AI - Industrial IoT
Not enough data
Not enough data
Nonconformance
Not enough data
8.0
11
Not enough data
8.0
9
Not enough data
7.6
9
Quality system
Not enough data
6.9
8
Not enough data
7.4
9
Not enough data
7.9
11
Risk Management
Not enough data
7.2
9
Not enough data
6.9
8
Not enough data
6.3
8
Inspection Management
Not enough data
8.0
10
Not enough data
7.7
11
Not enough data
7.9
11
Compliance
Not enough data
7.6
11
Not enough data
6.3
9
Not enough data
6.9
9
Platform
Not enough data
8.5
11
Not enough data
8.2
11
Not enough data
8.8
11
Not enough data
9.2
11
Services
Not enough data
9.2
11
Not enough data
9.2
11
Not enough data
9.4
11
Not enough data
9.2
11
Order Entry
8.1
16
Not enough data
7.6
15
Not enough data
7.4
15
Not enough data
Order Tracking
8.2
15
Not enough data
8.1
14
Not enough data
7.7
15
Not enough data
Inventory Management
8.8
18
Not enough data
8.6
15
Not enough data
8.8
16
Not enough data
Customer Management
8.5
14
Not enough data
7.9
13
Not enough data
6.9
13
Not enough data
Subscription Management
6.5
13
Not enough data
5.6
12
Not enough data
6.5
12
Not enough data
5.2
11
Not enough data
Agentic AI - Order Management
Not enough data
Not enough data
Not enough data
Not enough data
Production Control - Manufacturing Execution System (MES)
8.1
7
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
Production Monitoring - Manufacturing Execution System (MES)
8.7
5
Not enough data
8.3
6
Not enough data
9.2
6
Not enough data
Data Collection and Analysis - Manufacturing Execution System (MES)
8.1
6
Not enough data
5.7
5
Not enough data
7.2
6
Not enough data
7.7
5
Not enough data
Integration - Manufacturing Execution System (MES)
5.7
5
Not enough data
7.7
5
Not enough data
5.3
5
Not enough data
Artificial Intelligence - Manufacturing Execution System (MES)
4.3
5
Not enough data
5.7
5
Not enough data
5.7
5
Not enough data
Agentic AI - Manufacturing Execution System
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Knowledge Base
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Communication
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
MRPeasy and Tulip are categorized as Manufacturing Execution System
Unique Categories
MRPeasy is categorized as Advanced Planning and Scheduling (APS), Job Shop Management, Discrete ERP, Inventory Control, ERP Systems, and Order Management
Tulip is categorized as Industrial IoT, Work Instructions, Manufacturing Intelligence, Connected Worker Platform, and Quality Management (QMS)
Reviews
Reviewers' Company Size
MRPeasy
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Tulip
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
Manufacturing
33.3%
Automotive
6.3%
Electrical/Electronic Manufacturing
6.3%
Accounting
4.2%
Design
4.2%
Other
45.8%
Manufacturing
36.1%
Pharmaceuticals
11.1%
Information Technology and Services
8.3%
Industrial Automation
8.3%
Oil & Energy
5.6%
Other
30.6%
Alternatives
Discussions
How difficult is it to implement MRPEasy?
2 Comments
KB
NO IT IS HANDSFREERead more
Is MRPeasy cloud based?
2 Comments
Official Response from MRPeasy
Yes, MRPeasy is a cloud-based manufacturing software. It is fully accessible from any internet-enabled browser or smart device, which means there is no need...Read more
What is MRPEasy?
2 Comments
KL
MRPeasy is a cloud-based ERP/MRP system for small manufacturers and distributors (10-200 employees).Read more
What is tulip in manufacturing?
1 Comment
KA
Tulip is a software used to make internal apps for operators and managers. It can monitor machine uptime, automatically record measurements from tools,...Read more
Tulip has no more discussions with answers
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