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impress.ai Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by impress.ai and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 91 impress.ai employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that impress.ai has purchased the following applications: RChilli Resume Parser for Natural Language Processing in 2021, Shopline Platform for eCommerce in 2021, FreshDesk Customer Support for Customer Support in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems impress.ai is running and its propensity to invest more and deepen its relationship with RChilli , Shopline , Freshworks or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing impress.ai revenues, which have grown to $10.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for impress.ai intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| RChilli | Legacy | RChilli Resume Parser | Natural Language Processing | AI-Powered Application | n/a | 2021 | 2021 |
In 2021, impress.ai implemented RChilli Resume Parser to extract structured resume fields for its chatbot driven recruitment workflows. The RChilli Resume Parser, classified as Natural Language Processing, was applied to improve candidate engagement in high volume hiring within its HR and recruitment functions.
Implementation emphasized automated entity extraction and structured field normalization, converting unstructured CV text into discrete fields such as contact information, education, employment history and skills. Processed resume data was formatted for consumption by downstream services as structured outputs to support decision logic and conversational prompts.
The parser was integrated into impress.ai's chatbot driven screening flows so parsed resume fields could trigger relevant follow up questions and guide conversational screening. Operational coverage focused on high volume hiring workflows, enabling the recruitment team to route candidates through automated screening sequences based on parsed attributes.
Governance changes included updating screening workflows to consume parsed fields and instrumenting conversational logic to reference normalized attributes during candidate interactions. The case study reports an explicit outcome, an 80% interview completion rate overnight after integrating RChilli, demonstrating immediate lift in conversational screening completion using parsed resume data.
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Shopline | Legacy | Shopline Platform | eCommerce | eCommerce | n/a | 2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Freshworks | Legacy | FreshDesk Customer Support | Customer Support | CRM | n/a | 2021 | 2021 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2016 | 2016 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2016 | 2016 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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