Irvine, 92606, CA,
United States
LevelShift
LevelShift, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. LevelShift collaboration with software players such as Boomi empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| LevelShift | Boomi | Boomi AtomSphere | API Management,iPaaS (Integration Platform as a Service) | PaaS |
| LevelShift | Boomi | Boomi DataHub | Master Data Management | PaaS |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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Post Consumer Brands | Consumer Packaged Goods | 2500 | $300M | United States | Boomi | Boomi AtomSphere | API Management,iPaaS (Integration Platform as a Service) | 2025 |
In 2025, Post Consumer Brands deployed Boomi AtomSphere to consolidate integration development and API management across its SaaS-first application landscape. The initiative targeted API Management,iPaaS (Integration Platform as a Service) capabilities to move the IT team from custom Oracle-coded point integrations to a low-code integration abstraction layer.
The implementation centered on Boomi Integration and Boomi DataHub to establish golden records for employee and master data, alongside Boomi API Management, Boomi Queues, and Boomi Managed Cloud Service for runtime hosting. The team configured DataHub for centralized employee data models to ensure consistent HR attributes and role provisioning, and used Boomi orchestration processes to produce JSON payloads and enforce an MRO data standard for parts and materials.
Integrations were built to connect Oracle JD Edwards and JDE Orchestrator, HighRadius, MVP One, Infor Datastream 7i, Gatekeeper, Kinaxis Maestro, and the Snowflake Cloud Data Platform, with connectors for Azure Service Bus, database, HTTP, SFTP, disk, and email. The architecture adopted event-driven, pubsub patterns using Boomi Queues and Azure Service Bus to decouple systems, and data flows were staged into a Snowflake data lake for downstream consumption by supply chain and demand planning applications. Projects included moving order and revenue forecast data from acquired pet food brands into Azure storage and Snowflake, and integrating two manufacturing plants into Post application workflows.
Governance and rollout emphasized iterative master data management and repeatable acquisition onboarding, with Boomi DataHub enforcing division-specific business rules and PreludeSys and LevelShift serving as implementation partners. The program produced explicit outcomes documented by Post, including improved connectivity among business applications, automated supply chain and cash management workflows, higher data quality through golden records, and a trained team of 12 Boomi developers to sustain ongoing integrations.
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Post Consumer Brands | Consumer Packaged Goods | 2500 | $300M | United States | Boomi | Boomi DataHub | Master Data Management | 2025 |
In 2025, Post Consumer Brands implemented Boomi DataHub as its Master Data Management solution to establish golden records and centralize employee master data across the division. The project aligned with a broader initiative to move applications to the cloud, modernize application architecture, and integrate data from multiple acquisitions, and the engagement included implementation partner LevelShift alongside Boomi partner PreludeSys for delivery and integration work.
Boomi DataHub was configured to manage canonical data models for employee records and to enforce division specific business rules while supporting centralized HR functions. The implementation leveraged Boomi Enterprise Platform capabilities including Boomi Integration, Boomi API Management, Boomi Managed Cloud Service, and Boomi Queues, with DataHub performing quality and consistency checks, synchronization, enrichment, and distribution of master records to downstream applications.
Integrations connected Oracle JD Edwards to HighRadius for cash management via JSON orchestration, synchronized MRO data across JDE, MVP One, Infor Datastream 7i, and Gatekeeper, and moved order and forecast data from recently acquired pet food brands into Azure cloud storage and a Snowflake data lake. Boomi processes and HTTP connectors then routed cleansed data from Snowflake into Kinaxis Maestro and JDE, and event driven services were built using a pubsub model with Boomi Queues and Azure Service Bus to support loosely coupled integrations and evolving supply chain needs.
Governance and rollout emphasized iterative MDM adoption and developer enablement, resulting in a trained team of 12 Boomi developers and a repeatable integration pattern for future acquisitions. The implementation established a single source of truth for personnel and MRO data, streamlined HR and supply chain workflows, improved application connectivity during ERP upgrades and SaaS adoption, and created a foundation for broader Master Data Management practices without requiring extensive in house development.
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Buyer Intent: Companies Evaluating LevelShift Services
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