A global biopharmaceutical company operating in more than 80 countries needed to improve visibility and decision speed across its complex manufacturing network. Operational data was fragmented across multiple systems, forcing teams to spend significant time consolidating information before acting.
Altimetrik developed a Generative AI-powered manufacturing intelligence solution on AWS. The platform unified structured and unstructured data and enabled users to retrieve real-time insights through natural-language conversations. This accelerated operational decisions and created opportunities for substantial production and supply-chain savings.

A leading global chemical producer wanted to generate additional revenue from its top 25 customers. However, account managers lacked visibility into more than one million products distributed across approximately 20 planning units, limiting their ability to identify relevant cross-sell and upsell opportunities.
Altimetrik created a Single Source of Truth that unified product, customer, sales, and market data. Machine learning algorithms analyzed this information alongside geographic restrictions and customer spending capacity, generating actionable recommendations through an intuitive dashboard.

A premium apparel company needed to integrate machine learning into merchandising and planning decisions across assortment, procurement, replenishment, and sales. Disconnected forecasting models, lengthy experimentation, and limited production controls prevented the business from using predictive intelligence effectively.
Altimetrik developed a cloud-native MLOps platform that integrated model development, deployment, monitoring, and retraining with the client’s data ecosystem. The solution accelerated production releases, improved forecast accuracy, and enabled agile inventory decisions across regions and channels.

One of North America’s largest premium fresh-tomato growers needed to improve six-week yield forecasting across its year-round greenhouse operations. Manual planning relied heavily on individual expertise, resulting in inconsistent forecasts and limited use of available production data.

A leading farm-to-table conglomerate needed greater visibility across production, quality, logistics, equipment, wastage, and sales operations spanning five continents. Disconnected data sources, multiple legacy ERP editions, and paper-based processes limited efficiency and slowed decision-making.

A global biopharma leader specializing in oncology, rare diseases, and plasma therapies needed to improve visibility and efficiency across its manufacturing network. Data was fragmented across 31 sites, 129 contract manufacturing organizations, and 14 brands, limiting end-to-end operational insights.

Altimetrik developed a Predictive Insights Center that unified manufacturing and quality data, standardized performance monitoring, and automated critical workflows. The platform reduced manual effort, generated significant savings, and enabled faster, data-driven decisions across global production operations.

A leading APAC biscuits manufacturer needed faster, more reliable consumer and demographic insights to strengthen market expansion, customer retention, and retail execution. Data inaccuracies, limited availability, and the absence of a unified data foundation delayed analysis and made go-to-market decisions heavily dependent on manual processes.

Altimetrik consolidated data from multiple sources, introduced metadata management, and developed advanced analytics capabilities that provided a 360-degree view of consumers. The solution improved market penetration, loyalty, product positioning, and retailer negotiations.

A global payments product network needed to modernize the reconciliation of Travel Management Company transactions with financial data. Its manual, error-prone matching process created delays and required significant operational effort.

Altimetrik implemented an automated, ML-driven data-processing solution that consolidated transaction data, identified matching patterns, and reconciled records at scale. The solution reduced reconciliation effort by 80% while enabling $0.6 billion in annual transactions.

A global pharma leader partnered with Altimetrik to modernize its data infrastructure on Snowflake following multiple M&A activities. Altimetrik built a FAIRified, future-ready data platform that integrated 150+ sources, delivered 100+ live use cases, and generated insights across R&D, Trials, Manufacturing, and Logistics.