About the Client
The client is a leading distributor of packaging, foodservice disposables, and janitorial supplies, built through a strong acquisition-led growth strategy. With multiple regional brands operating under their umbrella, the company combines local market expertise with enterprise-scale reach.
Goals
As the company scaled its e-commerce and distribution operations, order volume and customer interactions increased significantly. However, critical workflows like email handling, order entry, and information retrieval remained fragmented and manual. This increased operational effort created delays and limited the ability to scale efficiently.
They aimed to:
- Create a unified interface to simplify access to order status, pricing, and customer information
- Reduce manual effort in handling emails and order entries, making it easier for teams to operate
- Improve response times to deliver a faster, more seamless customer experience
- Leverage AI to enhance productivity and enable quicker, data-driven decisions
- Build scalable solutions that support growth without adding operational complexity
Beyond efficiency, the broader goal was clear: make it easier for customers to do business while enabling internal teams to operate faster and smarter. While initial AI proof-of-concepts had been explored, the company was looking for a strategic partner to transform their early efforts into production-ready, impact generating enterprise capabilities.
Solution
Bridgenext partnered with them to design and implement a suite of AI-powered solutions, gradually expanding the scope based on business needs and user adoption.
1. AI-Based Email Intent Classification (Outlook Integration)
An intelligent email processing system was introduced to automate inbox management.
- Automatically classifies incoming emails based on intent
- Routes order-related emails to the appropriate sales teams
- Reduces manual effort in email triaging and improved response efficiency
2. Automated Order Entry Platform
A fully automated workflow was built to process customer purchase orders received via email.
- Extracts order details such as items, quantities, and shipping information
- Validates data against the product catalog and internal systems
- Automatically creates and processes orders
- Eliminates the need for manual data entry by sales representatives
Ongoing enhancements, dashboarding, and feature expansion are continuously evaluated based on user feedback and evolving business needs.
Results
The AI-led transformation delivered measurable improvements in operational efficiency and scalability:
- Automated processing for a growing share of orders, significantly reduces manual workload for their operations teams
- Thousands of customer emails and orders are streamlined through AI-driven workflows, improving turnaround time
- Faster order validation and processing reduce delays and minimize back-and-forth with customers
- High accuracy levels in automated order handling, ensuring reliable and consistent delivery
- Strong adoption across teams, with AI tools now part of daily sales and operations processes
- Increased customer volumes and order traffic are handled efficiently without a proportional increase in effort or resources
