AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Spring-Green Lawn Care Tech Stack and Enterprise Applications

Spring-Green Lawn Care HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Fountain Legacy Fountain Hiring Software Applicant Tracking System HCM n/a 2018 2018
In 2018 Spring-Green Lawn Care implemented Fountain Hiring Software as its Applicant Tracking System. The deployment positioned Fountain Hiring Software as the primary on site application intake and candidate management tool, capturing applicants via Spring-Green's public careers pages and job listings. Configuration emphasized standard Applicant Tracking System capabilities including job posting, customizable application forms, screening questions, automated candidate routing, and interview scheduling workflows. These workflows were tailored to hourly and seasonal field roles typical of lawn care operations, allowing HR to manage requisitions, screening, and offer steps within Fountain Hiring Software. The implementation integrated the Fountain Hiring Software instance directly with the company website to funnel candidate data into the ATS and centralize hiring records. Governance focused on consolidating hiring workflows inside the application, using configurable screening rules and notification templates to standardize recruiter and hiring manager handoffs.
Spring-Green Lawn Care Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2015 2015
In 2015, Spring-Green Lawn Care implemented Microsoft 365 as its Collaboration platform. The Microsoft 365 deployment consolidated core collaboration services including Exchange Online email, Microsoft Teams messaging and meetings, SharePoint Online document management and OneDrive file storage to support communications and document workflows across the organization. The architecture followed a cloud-native Microsoft 365 SaaS provisioning model sized for approximately 200 employees, with identity and access governance anchored in Azure Active Directory and policy controls applied to mail and document access. Governance emphasis included centralized user provisioning, role based access controls and mobile device management to support office staff and field operations sharing schedules, job details and customer documentation. Public references on the company website indicate Microsoft 365 is used in customer-facing and internal contexts, and Spring-Green Lawn Care Microsoft 365 Collaboration supports core communications and document management business functions.
Spring-Green Lawn Care eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Fresh Relevance Legacy Fresh Relevance Personalization and Product Recommendations eCommerce n/a 2020 2020
In 2020, Spring-Green Lawn Care implemented Fresh Relevance as its on-site Personalization and Product Recommendations solution on the company website. The Fresh Relevance deployment is explicitly focused on delivering tailored content and recommendation experiences to website visitors, aligning the application name Fresh Relevance with web-led customer engagement for a professional services firm serving the United States market. The implementation centers on category-aligned capabilities common to Personalization and Product Recommendations platforms, including real-time content targeting, recommendation carousels, visitor segmentation and rule-based decisioning. Fresh Relevance is configured to drive dynamic on-page experiences and personalized merchandising workflows, supporting marketing and customer experience use cases through campaign and rule management. Deployment is implemented as a cloud-hosted personalization service embedded into the website, with configuration and campaign management operated by the internal marketing and web operations teams. Operational coverage is limited to the public website, affecting marketing and customer experience functions, with governance exercised through centralized configuration, audience segmentation, and campaign rules rather than changes to backend systems.
Spring-Green Lawn Care CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Experience CRM 2019 2019
Digital Advertising Platform CRM 2012 2012
Digital Advertising Platform CRM 2014 2014
Digital Advertising Platform CRM 2016 2016
Marketing Analytics CRM 2020 2020
Spring-Green Lawn Care PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2018 2018
Spring-Green Lawn Care IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Content Delivery Network IaaS 2020 2020

IT Decision Makers and Key Stakeholders at Spring-Green Lawn Care

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Spring-Green Lawn Care Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Spring-Green Lawn Care IT executives and key decision makers. This section highlights Spring-Green Lawn Care's latest recorded technology evaluations, including Quadient NeoPost Neoship for Shipping Management on 2025-11-06 and Adobe WorkFront for Business Process Management on 2025-10-01. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Spring-Green Lawn Care digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
2025-11-06 Spring-Green Lawn Care Evaluated Quadient Quadient NeoPost Neoship Shipping Management eCommerce
2025-10-01 Spring-Green Lawn Care Evaluated Adobe Systems Adobe WorkFront Business Process Management ERP Services and Operations
FAQ - APPS RUN THE WORLD Spring-Green Lawn Care Technographics
Spring-Green Lawn Care is a Professional Services organization based in United States, with around 200 employees and annual revenues of $19.0 million.
Spring-Green Lawn Care operates a diverse technology stack with applications such as Fountain Hiring Software, Microsoft 365 and Fresh Relevance, covering areas like Applicant Tracking System, Collaboration and Personalization and Product Recommendations.
Spring-Green Lawn Care has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Fountain, Microsoft and Fresh Relevance.
Spring-Green Lawn Care recently adopted applications including Fresh Relevance in 2020, Crazy Egg in 2020 and Microsoft Azure Cloud Services in 2020, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Spring-Green Lawn Care’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Spring-Green Lawn Care’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Spring-Green Lawn Care technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.