San Francisco, 94103, CA,
United States
Dolls Kill Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Dolls Kill and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 350 Dolls Kill employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Dolls Kill has purchased the following applications: Grow.com for Analytics and BI in 2018, Lever by Employ for Applicant Tracking System in 2015, Amazon EC2 for Application Hosting and Computing Services in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Dolls Kill is running and its propensity to invest more and deepen its relationship with Epicor , Employ , Amazon Web Services (AWS) 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 Dolls Kill revenues, which have grown to $60.0 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 Dolls Kill 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Epicor | Legacy | Grow.com | Analytics and BI | Analytics and BI | n/a | 2018 | 2018 | In 2018, Dolls Kill implemented Grow.com for Analytics and BI to deliver real-time ecommerce and operations dashboards across its US operations. The Grow.com deployment provided centralized visibility for sales, customer service, margin analysis and shipping metrics to keep cross-functional teams aligned on live KPIs. Reporting was centralized to support operational decision making across ecommerce and store expansion planning. Implementation focused on dashboarding, KPI scorecards, real-time visualizations and scheduled alerts that surfaced sales trends, customer service queues, margin drivers and shipping performance. The Grow.com configuration standardized metric definitions and reporting templates, enabling consistent dashboards for merchandising, customer care and operations teams. This configuration reduced reporting fragmentation and established a single operational view for daily monitoring. The rollout covered Dolls Kill US operations and targeted commerce, fulfillment and customer support functions, aligning metrics across teams working on brick and mortar expansion. Governance included standardized reporting cadence and shared KPI definitions to maintain alignment as the company moved toward physical retail locations. Dolls Kill reported increased productivity and visibility and used the Analytics and BI capability to support its brick and mortar retail expansion. |
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Employ | Legacy | Lever by Employ | Applicant Tracking System | HCM | n/a | 2015 | 2015 | ||
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Core HR | HCM |
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2021 | 2022 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2017 | 2017 | ||
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Content Delivery Network | IaaS |
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2012 | 2012 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Application Performance Management | ITSM |
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2014 | 2014 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Application, Web and Enterprise Search | Content Management |
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2016 | 2016 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2013 | 2013 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Customer Data Platform | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2016 | 2016 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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eCommerce Fraud Protection | eCommerce |
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2017 | 2017 |
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eCommerce | eCommerce |
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2011 | 2011 |
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ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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ERP Financial | ERP Financial Management |
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2018 | 2019 |
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Payment Processing | ERP Financial Management |
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2017 | 2017 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2012 | 2012 |
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Transactional Email | PaaS |
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2012 | 2012 |
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Transactional Email | PaaS |
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2016 | 2016 |
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Transactional Email | PaaS |
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2016 | 2016 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||