Overview
A leading U.S.-based packaging manufacturer was experiencing growing operational complexity. Multiple departments—procurement, sales, customer service—each relied on siloed systems (e.g., email, Google Drive, Excel) to manage quotes, inventory, vendor documents, and pricing data. This fragmented approach not only slowed response times but also introduced errors and inefficiencies at critical points in the order lifecycle.
To overcome these challenges, the manufacturer deployed a domain-specific Expert Agent, powered by Accrete’s Knowledge Engine, to unify operational data and augment decision-making across teams.
The Challenge
The manufacturer’s legacy approach to managing quote-to-fulfillment workflows was riddled with friction:
- Siloed data systems (Google Drive, spreadsheets, emails, shared folders) made it difficult to locate accurate pricing, vendor specs, or historical quote data.
- Generating quotes was manual and error-prone, requiring tribal knowledge to navigate inconsistent file structures and outdated information.
- Operations and sales teams spent significant time cross-referencing multiple systems to validate pricing, vendor details, and product availability.
- Quote errors led to costly rework and delays in fulfillment, damaging customer trust and reducing margin.
The Solution: Expert Agent Powered by Accrete’s Knowledge Engine
The company implemented an Expert Agent trained on its internal data sources and business context. The agent is built on Accrete’s proprietary Knowledge Engine, which unifies structured and unstructured data into a dynamic, semantic representation of the company’s operational ground truth.
The Expert Agent:
- Unifies disparate data silos across emails, Google Drive, and spreadsheets reducing information retrieval time by up to 70%.
- Automates quote generation with embedded workflows that incorporate contextual business rules and vendor constraints.
- Provides contextual recommendations based on product availability, historical trends, and cost optimization logic.
- Continuously learns from user interactions to capture tacit domain knowledge and improve over time.
Results
In less than 30 days, the Expert Agent delivered measurable improvements:
- Quote generation time reduced by 60%, freeing up approximately 1.5 FTEs across sales and operations to focus on higher-value tasks.
- Eliminated quote errors stemming from outdated or incorrect vendor data, improving fulfillment accuracy and reducing rework costs by an estimated 15% per order cycle.
- Increased cross-functional collaboration, reducing time spent on interdepartmental coordination by 50%.
- Captured tribal knowledge and embedded it into repeatable workflows, cutting onboarding time for new employees by 40%.
Why It Matters
This case exemplifies how Accrete’s Knowledge Engine platform enables enterprises to unify siloed knowledge, embed domain expertise, and operationalize insights through Expert Agents tailored to the business context. For manufacturers, this means transforming reactive, manual workflows into proactive, intelligent operations—without rebuilding systems from scratch.