Bengaluru, 560092,
India
Hindustan Coca-Cola Beverages Technographics
Hindustan Coca-Cola Beverages Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Hindustan Coca-Cola Beverages and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 6200 Hindustan Coca-Cola Beverages employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Hindustan Coca-Cola Beverages has purchased the following applications: IBM Maximo for Enterprise Asset Management in 2017, Brightcove for Audio Video and Web Conferencing in 2017, Adobe Experience Manager for Digital Asset Management 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 Hindustan Coca-Cola Beverages is running and its propensity to invest more and deepen its relationship with IBM , Brightcove , Salesforce 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 Hindustan Coca-Cola Beverages revenues, which have grown to $700.0 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 Hindustan Coca-Cola Beverages 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.
Hindustan Coca-Cola Beverages Tech Stack and Enterprise Applications
Hindustan Coca-Cola Beverages ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Maximo | Enterprise Asset Management | ERP Services and Operations | n/a | 2017 | 2017 |
In 2017 Hindustan Coca-Cola Beverages deployed IBM Maximo as its Enterprise Asset Management platform at the Ahmedabad Greenfield manufacturing site, driving a factory-wide digitalization and automation initiative. The deployment was anchored to commissioning and operations workflows for a full commercial run, with Maximo positioned as the primary tool for asset lifecycle and operational record keeping under a designated power user model.
IBM Maximo was configured to support core Enterprise Asset Management capabilities, including asset records and work order management, spare parts and laboratory inventory control, calibration and maintenance scheduling, and quality data capture to support HACCP audits. The implementation also served as the backbone for the Quality Management Information System, enabling traceability and model retention processes through structured asset and batch records.
Operational coverage centered on manufacturing and quality functions at the Ahmedabad plant and included supplier audit support and month end operational close activities. The Maximo implementation was embedded into day to day shopfloor workflows, with power users and subject matter experts trained as trainers to extend usage across operations and to support India level internal quality training activities.
Governance relied on a power user model and factory SMEs to drive configuration, validation, and continuous improvement, with training and process controls introduced to enforce GMP and 5S practices. Documented outcomes tied to the broader program include sugar yield improvement from 97.2 percent to 99.3 percent equating to approximately INR 3.1 million per year, a reduction of 111 minutes per day in CIP and COP process time, and a Model Retention Room capability that enables batch level traceability within 60 seconds, all projects led while leveraging IBM Maximo for data capture and process orchestration.
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Hindustan Coca-Cola Beverages Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Brightcove | Legacy | Brightcove | Audio Video and Web Conferencing | Collaboration | n/a | 2017 | 2017 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Hindustan Coca-Cola Beverages Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Experience Manager | Digital Asset Management | Content Management | n/a | 2017 | 2017 |
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Hindustan Coca-Cola Beverages SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Fleet Management | SCM |
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2023 | 2023 |
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Hindustan Coca-Cola Beverages CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2015 | 2015 |
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Hindustan Coca-Cola Beverages IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Cloud Storage | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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IT Decision Makers and Key Stakeholders at Hindustan Coca-Cola Beverages
Apps Being Evaluated by Hindustan Coca-Cola Beverages Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||