Comsense Technologies
visit site- $5,000+
- 50 - 249 employees
- Pune, India
Comsense Technologies is an predictive customer analytics and big data agency based in Bonita Springs, Fla., with secondary locations in Singapore and Pune, India. Founded in 2014, this company has 31 employees. Services provided by Comsense Technologies include AI, big data consulting, and digital strategy.
Client Insights
Industry Expertise
40%
20%
20%
15%
5%
Client Size Distribution
Small Business (<$10M) 10%
Midmarket ($10M - $1B) 50%
Enterprise (>$1B) 40%
Common Project Size
$10K-$49K 3 projects
<$10K 1 project
$50K-$199K 1 project
Clients
- Marks and Spencer
Highlights from Recent Projects
Comsense Technologies was hired by a global IT solutions and services company based in Houston, Texas, to streamline their marketing automation initiative. The main goal of the project was to enhance the speed and efficiency of the company's marketing efforts. Comsense was selected based on positive references and thorough due diligence. The team from Comsense, made up of two marketing consultants, worked closely with the client's marketing team. As a result, the company was able to build and execute successful campaigns, which led to numerous qualified leads that ultimately converted.
In another project, Comsense Technologies was selected by Swissotel to provide marketing automation services. The specific details of the project were not disclosed. The vendor was chosen based on their extensive experience, ease of communication, flexibility, and high level of expertise. The involvement of the Directors and CEO of Comsense in the project instilled confidence in the client. The project was overseen by senior project managers, with a larger team working in the background.
Comsense Technologies was also hired by mjunction services ltd., India's largest B2B e-commerce company, to develop a price and buyer prediction model. The complex project was divided into two parts: price estimation and buyer identification. The goal was to automate the prediction of auction prices and identify potential buyers based on historical data and external online resources. Comsense was selected based on their proposed approach and the team they assembled for the project. The project team included two data science personnel and two IT experts, led by one of their Directors. As a result, mjunction was able to predict the prices of products being sold without manual intervention, based solely on data.