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Mckay Auto Parts
Location
414 N Old Route 66,
Litchfield, 62056-1053, IL,
United States
Website
https://www.mckayauto.net/
Phone
1 217-324-3969
Artw industry
Automotive
Employee
Revenue

Mckay Auto Parts Technographics

Mckay Auto Parts Software Purchases and Digital Transformation Initiatives

Discover the latest software purchases and digital transformation initiatives being undertaken by Mckay Auto Parts and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 160 Mckay Auto Parts employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.

During our research, we have identified that Mckay Auto Parts has purchased the following applications: Google Cloud Platform (GCP) for Application Hosting and Computing Services in 2023, Sentry for Application Performance Management in 2020, Epicor Indago WMS for Warehouse Management in 2020 and the related IT decision-makers and key stakeholders.

Our database provides customer insight and contextual information on which enterprise applications and software systems Mckay Auto Parts is running and its propensity to invest more and deepen its relationship with Google , Amazon Web Services (AWS) , Wix.com 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 Mckay Auto Parts revenues, which have grown to $24.0 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 Mckay Auto Parts 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.

Mckay Auto Parts Data, Technology Stack, and Enterprise Applications
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Google Legacy Google Cloud Platform (GCP) Application Hosting and Computing Services IaaS n/a 2023 2023
Application Hosting and Computing Services IaaS 2022 2022
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2023 2023
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Functional Software Legacy Sentry Application Performance Management ITSM n/a 2020 2020
SCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Epicor Legacy Epicor Indago WMS Warehouse Management SCM n/a 2020 2021 In 2020 McKay Auto Parts evaluated and initiated implementation of Epicor Indago WMS, deploying the Epicor Indago WMS solution under the Warehouse Management category to deliver real time warehouse visibility and tighter inventory control. The decision centered on improving distribution center operational accuracy and linking store replenishment workflows to the corporate distribution process. The implementation focused on core Warehouse Management capabilities, including inventory visibility and location tracking, pick optimization, and workflow orchestration for distribution center operations. Configuration emphasized real time stock status and pick path efficiency to reduce zero pick incidents and support day to day DC productivity improvements. McKay collaborated directly with Epicor and NAPA to integrate Epicor Indago WMS with the NAPA TAMS store platform, creating a data flow between the DC and NAPA retail systems to drive replenishment and order fulfillment processes. Operational coverage targeted the McKay distribution center and downstream NAPA store replenishment, aligning WMS transactions with store order acknowledgements and inventory visibility at the store interface. The team evaluated Indago in late 2020 and worked on integration planning with Epicor and NAPA, with a go live estimated in 2021 based on the published case study timeline. Post implementation results reported a reduction in zero picks from as many as ~100 per day to roughly 10 to 20 per day and noted improved DC productivity as primary operational outcomes.
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Web Content Management Content Management 2022 2022
IT Decision Makers and Key Stakeholders at Mckay Auto Parts
First Name Last Name Title Function Department Email Phone
No data found
Show All Contacts
Apps Being Evaluated by Mckay Auto Parts Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Mckay Auto Parts Technographics

Mckay Auto Parts is a Automotive organization based in United States, with around 160 employees and annual revenues of $24.0 million.

Mckay Auto Parts operates a diverse technology stack with applications such as Google Cloud Platform (GCP), Sentry and Epicor Indago WMS, covering areas like Application Hosting and Computing Services, Application Performance Management and Warehouse Management.

Mckay Auto Parts has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Google, Functional Software and Epicor.

Mckay Auto Parts recently adopted applications including Google Cloud Platform (GCP) in 2023, Google Cloud CDN in 2023 and Amazon EC2 in 2022, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Mckay Auto Parts’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Mckay Auto Parts’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 Mckay Auto Parts technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.