Industry
Retail & Consumer Packaged Goods (CPG)
Global Retailer Speeds Up Forecasting Model Validation from Months to Days with Autonomous MLOps on AWS
validation cycles dramatically shortened, enabling rapid experimentation
model transitions through automated Champion/Challenger deployment
with full auditability, encryption, and identity controls across global operations
through automated cost governance and monitoring tooling
A global retailer partnered with Altimetrik to modernize its forecasting engine, replacing a slow, manually validated machine learning process with a fully automated Champion/Challenger framework powered by Amazon SageMaker. The retailer’s growing business complexity had outgrown its legacy setup, which lacked the experimentation, governance, and real-time oversight needed at scale.
Altimetrik built an autonomous MLOps ecosystem that benchmarks new models against production models automatically, promotes only the ones that outperform, and layers in enterprise-grade governance, monitoring, and cost controls throughout.
The retailer’s legacy forecasting process relied on manual validation and limited transparency, slowing decisions across inventory, supply chain, and seasonal planning. Evaluating a single model could take months of manual checks, leaving the business reacting to demand shifts rather than anticipating them.
As complexity grew, the existing setup could not support real experimentation, enterprise-grade governance, or real-time oversight. Introducing a new algorithm was risky, with no automated way to benchmark it against what was already in production, and global operations needed stronger security, auditability, and cost visibility than the legacy system could offer.
Retail forecasting directly impacts inventory availability, supply chain efficiency, and customer satisfaction. By replacing months-long manual validation with an autonomous MLOps framework, the retailer accelerated innovation while ensuring every production model met strict performance, security, and governance standards. The result was a scalable AI foundation that continuously improves forecasting accuracy, reduces operational risk, and enables faster, data-driven business decisions.
Altimetrik partnered with the retailer to build a fully automated forecasting ecosystem on AWS, centered on continuous experimentation and enterprise governance. The solution delivered:
Reduced forecasting model validation cycles from months to days, enabling faster experimentation and deployment.
Automated Champion/Challenger deployments ensured seamless transitions to higher-performing models without disrupting operations.
Improved cost efficiency through automated cloud cost governance, usage monitoring, and optimization.
Enabled a self-improving MLOps framework that continuously evaluates and promotes the best-performing forecasting models.
This engagement reflects how Altimetrik approaches AI at enterprise scale: building systems that keep improving themselves, not just solving a single forecasting problem. The automated Champion/Challenger framework gave the retailer a forecasting engine that innovates continuously while meeting enterprise governance and cost standards.
As the retailer looks to extend this blueprint into other areas of AI-driven decision-making, the same self-improving foundation, built once and designed to keep learning, positions it to scale confidently into whatever comes next.
“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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