The circular economy requires a novel model that minimizes resource consumption and waste by keeping products and supplies in circulation for as long as possible.
At Tredence, we apply advanced analytics to help businesses transition from linear to circular economy models.
Our ESG approach, fuelled by advanced accelerators, top-tier hyperscalers, and industrial cloud platforms, helps identify and quantify packaging material reusability, waste reduction challenges, and unique data-related challenges required for circularity metrics.
The circular economy requires a novel model that minimizes resource consumption and waste by keeping products and supplies in circulation for as long as possible.
At Tredence, we apply advanced analytics to help businesses transition from linear to circular economy models.
Our ESG approach, fuelled by advanced accelerators, top-tier hyperscalers, and industrial cloud platforms, helps identify and quantify packaging material reusability, waste reduction challenges, and unique data-related challenges required for circularity metrics.
Enterprise Data Platform: Harmonize data from multiple sources to perform analysis from a single repository, bringing synergy across the value chain.
Interoperability with structured and open data analysis: Standardize, organize, and unify data to sustainably transition to an authentic circular economy model.
Smart manufacturing digital solutions: Drive efficiency with predictive maintenance, quality control, remote monitoring, asset monitoring, and fleet management.
Direct-to-customer solution: Improve sustainable consumption behavior and profit margins by establishing circular supply chains with effective personalization.
Digital twin technology: Increase transparency along the entire product lifecycle. Optimize sorting, disassembly, and inspection processes.
Recognized by leading analyst firms and hyperscalers
2023 Databricks Retail & CPG Partner of the Year Award
2022 Microsoft Analytics Partner of the Year Finalist
'Leader' in ISG Provider Lens for Data Analytics - Data Engineering and Data Science
Forrester Wave Leader 2023 - Customer Analytics Service Providers