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Olymel Tech Stack

Pork and poultry producer scaling operations and supply-chain automation across Canada and 50+ countries

Food Production Boucherville, Quebec 10,001+ employees Founded 1991 Privately Held

Olymel is a large-scale meat processor with 12,000 employees and $4.5B in annual revenue, operating manufacturing, logistics, and distribution networks across North America and globally. The tech stack reveals heavy SAP implementation (S/4HANA, SD, MM, Logistics Execution) paired with modern BI tools (Power BI, Tableau, Looker, Snowflake) — a signals of enterprise resource planning maturity mixed with emerging data-analytics capability. Active hiring in manufacturing (28 roles), operations (23), and engineering (10), combined with projects around network modernization, order-to-cash implementation, and AI-driven supply-chain optimization, indicate a company managing operational scale-up alongside technology infrastructure refresh.

Tech Stack 35 technologies

Core StackFortinet SAP S/4HANA Power BI SAP Dynamics 365 SAP MM SAP SuccessFactors Tableau Power Query Python Looker Snowflake AWS SASE SD-WAN AS/400 Coupa IBM i Circana SAP Logistics Execution SAP SD NielsenIQ Fabric Azure Azure Synapse DAX Dataflow QlikView GCP Kronos+5 more

What Olymel Is Building

Challenges

  • Optimizing claim processes
  • Improving energy efficiency
  • Optimizing herd performance
  • Performance gaps
  • Operational efficiency and quality
  • Reducing claim costs
  • Reducing costs related to claims
  • Inaccurate sales forecasts
  • Production interruptions
  • Maintenance costs

Active Projects

  • Prevention programs
  • Creating deployment and support plans
  • Security solution implementation projects
  • Order-to-cash process implementation
  • Annual savings pipeline development
  • Network architecture modernization projects
  • Ai supply chain projects
  • Procurement process standardization
  • Contract management framework development
  • New initiative admission process

Hiring Activity

Accelerating100 roles · 100 in 30d

Department

Manufacturing
28
Ops
23
Engineering
10
Logistics
9
Finance
7
HR
7
Sales
5
Procurement
3

Seniority

Mid
36
Junior
24
Senior
18
Director
9
Intern
9
Manager
7

Notable leadership hires: HR Director, Director Optimization Projects, PMO Director, Financial Forecasting Director, Maintenance Director

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About Olymel

Olymel produces pork and poultry for domestic consumption and export, operating as part of Sollio Cooperative Group — a locally rooted agriculture-based cooperative model. Products are sold across Canada and 50+ countries under six globally recognized brands. The company operates six recognized brands and maintains production facilities anchored in Quebec, with a workforce of 12,000 spread across manufacturing, logistics, operations, and corporate functions. Operationally, they handle claim-cost management, herd-performance optimization, energy-efficiency improvements, and production continuity — core operational-excellence challenges in protein processing.

HeadquartersBoucherville, Quebec
Company Size10,001+ employees
Founded1991
Hiring MarketsCanada

Frequently Asked Questions

What technology does Olymel use for supply-chain management?

SAP S/4HANA with SAP Logistics Execution, SD (Sales & Distribution), and MM (Materials Management) modules. BI layer includes Power BI, Tableau, Looker, and Snowflake for analytics and forecasting.

What is Olymel working on right now?

Order-to-cash process implementation, network architecture modernization, AI supply-chain projects, procurement standardization, and security solution deployment. Also addressing energy efficiency and production interruption prevention.

How this profile is built

Olymel's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.