Supply Chain Software

Supply chain software is the application of digitization, Internet of Things, advanced robotics, advanced analytics and blockchain in supply chain management

Supply chain software is the application of digitization, Internet of Things, advanced robotics, advanced analytics and blockchain in supply chain management.

If you’d like to learn about the ecosystem consisting of Supply Chain Software and others, feel free to check AIMultiple Supply Chain & Logistics.

Compare Best Supply Chain Software

Results: 76

AIMultiple is data driven. Evaluate 76 services based on comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is calculated based on objective data.

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What are our data sources?

We use the data sources on the side for ranking solutions and awarding badges in supply chain software category. Our data sources in supply chain software category include;

4

review websites

2

social media websites

1

search engine data for branded queries

Supply Chain Software Leaders

According to the weighted combination of 7 data sources

Alteryx

Anaplan

EZOfficeInventory

Cin7

FinancialForce SCM

What are Supply Chain Software market leaders?

Taking into account the latest metrics outlined below, these are the current supply chain software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.

Alteryx

EZOfficeInventory

Anaplan

FinancialForce SCM

Cin7

What are the most popular Supply Chain Software?

What are the most searched supply chain software brands?

Searches with Brand Name

These are the number of queries on search engines which include the brand name of the solution. Compared to other Supply Chain & Logistics categories, Supply Chain Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 62%, 10% more than the average of search queries in this area.

What are the most mature Supply Chain Software?

Which supply chain software companies have the most employees?

116 employees work for a typical company in this solution category which is 95 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 49 companies with >10 employees are offering supply chain software. Top 3 products are developed by companies with a total of 300k employees. The largest company building supply chain software is IBM with more than 300,000 employees.

IBM
Blue Yonder
Comarch SA
E2open Supply Management Application Suite
o9 Solutions

What are the Supply Chain Software growing their number of reviews fastest?


We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.

These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.

What is the average customer size?

According to customer reviews, most common company size for supply chain software customers is 1-50 Employees. Customers with 1-50 Employees make up 38% of supply chain software customers. For an average Supply Chain & Logistics solution, customers with 1-50 Employees make up 7% of total customers.

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

Customer Evaluation

These scores are the average scores collected from customer reviews for all Supply Chain Software. Supply Chain Software is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".

What is the level of interest in Supply Chain Software?

Interest in Supply Chain Software

This category was searched on average for 3.1k times per month on search engines in 2022. This number has increased to 3.6k in 2023. If we compare with other supply chain & logistics solutions, a typical solution was searched 1k times in 2022 and this decreased to 590 in 2023.

Traditional supply chain management techniques are simply getting overwhelmed, communication inefficiencies within the business parties cause delays, lost sales, dissatisfied customers. Tech savy customers are demanding real time information with lowest cost even in BtoB markets, thanks to Amazon! Data driven disruptors such as Uber puts pressure on logistics and overall supply chain business.

Those advanced networks are backed by advanced technologies such as artificial intelligence, blockchain and IoT.

Artificial Intelligence: AI presupposes the availability of sufficient data and is most valuable when this data is heterogeneous and appears to be uncorrelated. Specifically, in large data sets without highly structured data both AI and data exploration techniques can yield meaningful insights from complex supply chain data.

Blockchain: Whereas governing and coordinating multi-party contracts is a basis for Blockchain technology in a supply chain management context, compliance and non-repudiation is a dominant use case for highly controlled industries. For example sharing the custom related documentation within the different stakeholders through blockchain blocks decrease the communication inefficiency and give real time updates for concerned business units.

Internet of Things (IoT): The advantage of IoT technology embedded in end points, as well as intermediate steps in the Supply Chain all for concise and timely information to be sent in the form of events or signals to provide early detection and warning before it is too late to act.

According to theMcKinsey article digital supply chain is defined as the application of the Internet of Things, the use of advanced robotics, and the application of advanced analytics of big data in supply chain management.

At the core of the $9T, B2B e-Commerce and retail ecosystem are the business networks which facilitate the transaction, fulfillment, transportation and final delivery of goods and services through the supply chain.

Average sensor prices are expected to decrease from $1.3 in 2004 to $0.38 in 2020. This enables sensors to be embedded in more machines allowing operations to be analyzed and optimized at a more granular level. This leads to uncovering new insights and creating value for businesses.