Industry
Automotive Industry
TORONTO, CA
We began by developing a ground-level understanding of Deko Automotive's business, including its automotive component workflows, inventory practices, logistics dependencies, communication patterns and existing technology environment. This discovery process allowed Wewer to identify where AI and LLM capabilities could create meaningful operational value, and we translated those opportunities into a practical transformation roadmap aligned with the organization's current systems, people and long-term growth objectives.
Reliable automotive AI depends on reliable operational data. Wewer worked across Deko Automotive's data layer - cleaning and organizing information, performing data wrangling and transformations, consolidating operational datasets and improving their analytical usability. We also supported the extraction of meaningful insights from the company's broader data corpus, creating a stronger foundation for automotive analytics, LLM integration and future intelligent decision-support systems.
We supported the implementation of data-driven capabilities across automotive parts inventory and day-to-day operations. The work focused on improving visibility into stock movement, product availability, operational exceptions and the information teams needed to coordinate their work. By connecting stronger data practices with intelligent analysis, Wewer helped establish a more informed approach to inventory planning and operational decision-making.
Wewer helped Deko Automotive strengthen coordination across shipping, dispatch, delivery scheduling and automotive supply chain workflows. The engagement focused on improving visibility across product movement, supporting more informed scheduling and enabling clearer operational communication - bridging planning, logistics and delivery processes within a more connected and intelligence-driven operating environment.
More than two decades of operational and business data ingested, cleaned and prepared for analytics and AI.
Inventory, analytics, logistics, shipping, delivery scheduling and internal communication.
Eight operational and technology layers brought together into a unified intelligence ecosystem.
A centralized foundation supporting data access, automation, analytics and future LLM capabilities across the business.
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