Teamwork Commerce is a global retail technology company headquartered in Clearwater, Florida, serving enterprise retailers across North America, Europe, Latin America, and Asia-Pacific. Its cloud-based platform powers unified commerce with solutions for point-of-sale, ecommerce, order management, inventory, and customer insights.
Teamwork Commerce focuses on flexibility and performance and helps brands streamline retail operations and deliver seamless omnichannel experiences. The company supports prominent names in fashion, electronics, and specialty retail, enabling them to scale and adapt quickly.
Teamwork Commerce’s existing infrastructure couldn’t meet the performance requirements of its largest newly signed customer, especially during high-volume periods like Black Friday. The team realized that to scale effectively, it needed to re-platform to Kubernetes, which was unfamiliar to them at the time.
Simultaneously, the finance team faced difficulty maintaining visibility into cloud costs as usage diversified across services like BigQuery and Looker. Teamwork Commerce needed an agile, real-time way to understand spending behavior and identify discrepancies between internal consumption and customer billing.
Teamwork Commerce partnered with DoiT to unlock a product-centric, automation-driven path to cloud optimization.
Guided expertise, not traditional services
Rather than operating as a services vendor, DoiT delivered intent-aware, product-integrated guidance that helped Teamwork Commerce navigate the early complexities of Kubernetes adoption. “We needed someone to share ideas with, to validate our thinking,” said Artem Nikulchenko, Chief Software Architect. “That’s where DoiT was incredibly helpful.”
Through DoiT Cloud Intelligence™, the engineering team gained direct access to proactive insights and best practices, with no reliance on tickets or time-based consultancy.
Real-Time Cost Analytics and Anomaly Detection
Teamwork Commerce’s finance team quickly embraced Cloud Analytics to slice cloud usage by project and department. When spending anomalies occurred, such as unexpected increases in BigQuery usage, DoiT’s real-time anomaly detection flagged them instantly, enabling faster resolution by engineering teams or commercial restructuring by finance.
As an example, the team discovered that specific customers drove up costs without corresponding billing adjustments “Thanks to DoiT, we could restructure agreements transparently and prevent revenue leakage,” Artem noted.
Actionable Optimization Projects
Beyond cost visibility, DoiT’s platform enabled optimization at speed. When spending trends emerged, DoiT Cloud Intelligence didn’t just raise alerts, it facilitated immediate collaboration on optimization efforts. “The DoiT team didn’t just tell us we were overspending, they worked with us to reduce it,” Artem added.
Integrating DoiT Cloud Intelligence™ into its engineering and financial workflows, Teamwork Commerce unlocked a more scalable and cost-aware operating model. The successful migration to Kubernetes enabled the company to meet performance demands at peak times while maintaining architectural flexibility.
On the financial side, real-time visibility and anomaly detection gave the finance team the insights to track cloud usage, identify misalignments with customer billing, and act quickly, whether resolving engineering issues or renegotiating contracts. Optimization work initiated through DoiT Cloud Intelligence helped eliminate inefficiencies without the overhead of traditional support or advisory engagements.
Ultimately, DoiT’s product-led model allowed Teamwork Commerce to move faster, make better decisions, and scale confidently, keeping cloud costs aligned with business outcomes.
As Teamwork Commerce continues to expand globally and onboard new enterprise customers, the team is exploring deeper integrations between cloud cost insights and engineering workflows. With DoiT, the team aims to keep evolving its architecture and operations, focusing on performance, transparency, and scale.
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From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.
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