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Top 3 Supply Chain Cost-To-Serve Analytics Software Companies With $1M–$5M Revenue (September 2026)

As of September 2026, Latka tracks 3 supply chain Cost-To-Serve analytics software companies with $1M–$5M in annual revenue. They have combined revenues of $6.7M and employ 77 people. They have raised $2M and serve 100 customers combined.

Every company below sells supply chain Cost-To-Serve analytics software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Supply Chain Cost-To-Serve Analytics Software Companies do

Supply Chain Cost-To-Serve Analytics Software helps businesses analyze and optimize the costs associated with delivering products and services throughout the supply chain. By providing insights into various cost components, from production to delivery, organizations can make informed decisions that enhance profitability. Typical use cases include assessing the financial impact of different logistics strategies, evaluating supplier performance, and understanding customer profitability. Key features of this software often include advanced analytics, reporting tools, and dashboards that visualize costs across different segments of the supply chain. Common buyer personas include supply chain managers, finance professionals, and operations executives, all of whom utilize this information to streamline operations and reduce costs. The workflows generally involve data collection, analysis, and strategic decision-making aimed at increasing overall supply chain efficiency.

Companies
3
Revenue
$6.7M
Funding
$2M
Employees
77

Filters

Sorting: Highest -> Lowest

Filters

Top Supply Chain Cost-To-Serve Analytics Software Companies With $1M–$5M Revenue

Showing 3 of 3 companies ranked by annual revenue.

1Lytica logo
Lytica

Ottawa, Ontario, Canada

Lytica is a supply chain analytics SaaS provider to electronics companies focusing on supply chain cost, security of supply and compliance.

Revenue
$3.4M
Customers
100
Year founded
2005
Funding
$2M
Team size
55
2Sculpt logo
Sculpt

San Francisco, California, United States

Fully automated should-cost analysis for precision manufacturers.

Revenue
$2.3M
Year founded
2022
Team size
21
3ProcureIT Network logo
ProcureIT Network

Grain Valley, Missouri, United States

Firm providing customized SaaS that offers in-depth invoice analysis, a cost-optimization plan and automated implementation tools

Revenue
$1M
Year founded
2013
Team size
1

Frequently asked questions about Supply Chain Cost-To-Serve Analytics Software Companies With $1M–$5M Revenue

How many supply chain Cost-To-Serve analytics software companies with $1M–$5M in annual revenue are there?

Latka tracks 3 supply chain Cost-To-Serve analytics software companies with $1M–$5M in annual revenue. Together they generate $6.7M in annual revenue and employ 77 people.

Which supply chain Cost-To-Serve analytics software company with $1M–$5M in annual revenue is the largest?

Lytica is the largest, with $3.4M in annual revenue, founded in 2005.

How much revenue does a typical supply chain Cost-To-Serve analytics software company with $1M–$5M in annual revenue make?

The average supply chain Cost-To-Serve analytics software company in this list makes $2.2M a year, across 3 companies with reported revenue. They serve 100 customers combined.

Who are the leading Supply Chain Cost-To-Serve Analytics software vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are Lytica, Sculpt and ProcureIT Network.

How much funding have supply chain Cost-To-Serve analytics software companies with $1M–$5M in annual revenue raised?

The 3 supply chain Cost-To-Serve analytics software companies with $1M–$5M in annual revenue tracked here have raised $2M in disclosed funding between them.

Related Supply Chain & Logistics Software categories

Inclusion Criteria

- Software must provide detailed analytics on cost components throughout the supply chain. - Must include reporting capabilities to visualize and share insights with stakeholders. - Should allow for scenario modeling to evaluate different logistics and production strategies. - Tools should be customizable to accommodate various supply chain configurations and industries. - Not just focused on inventory management; must also analyze costs related to customer delivery and service levels.