AI Agents for an Odoo-Based AC Filters Manufacturer

Key results

37%

faster custom filter quote turnaround

27%

fewer ecommerce exceptions aging beyond SLA

36%

faster resolution of production and inventory conflicts

6 hours

saved weekly on cross-functional management reporting

filters odoo case study

Summary

The client is a New York-based manufacturer of standard and custom AC filters, selling through their website and Amazon. They also service commercial AC systems in large Manhattan buildings. Manufacturing, ecommerce, and field service all run on a single Odoo instance.
Employees had access to the necessary data but spent too much time piecing together records before they could act. WiserBrand built an AI agent layer around Odoo that detects exceptions, gathers the relevant context, and prepares a recommended action for the responsible employee.
Cooperation Period
Ongoing
Location
USA
Industry
eCommerce
Service Provided
AI Automation
ac filter

Business Challenge

Odoo supports sales, inventory, manufacturing, purchasing, accounting, ecommerce, and service operations across the business. The data was available, but turning it into decisions required significant manual effort.


Every issue involving a website or Amazon order meant checking inventory, production status, delivery details, and customer commitments. Custom filter quotes were even more complex: sales had to confirm specifications, materials, capacity, and lead times across several departments.


Similar challenges affected manufacturing and service. Shortages had to be traced through Odoo record by record, while dispatch and leadership reporting relied on manually combining customer, inventory, scheduling, and financial data.

What We Did

WiserBrand implemented an AI agent layer around Odoo while keeping the ERP as the central system of record. The agents detect exceptions, collect supporting context, and prepare recommended next steps for employee approval.

  • 1

    Ecommerce Exception Management

    An Ecommerce Exception Agent monitors website and Amazon orders for inventory conflicts, delays, missing details, and SLA risks. Each issue enters a prioritized queue with its likely root cause, owner, supporting context, and recommended resolution.

  • 2

    Custom Filter Quote Support

    A Custom Quote Agent extracts specifications from incoming requests, flags missing information, and checks materials, capacity, and lead-time risks. Sales receives a ready-to-review quote packet and can confirm feasible terms before responding to the customer.

  • 3

    Production and Inventory Conflict Control

    Production and inventory agents monitor Odoo for shortages, reservation conflicts, delayed purchases, and bottlenecks. Each conflict is linked to the orders and customers it may affect, allowing managers to see the broader impact without reconstructing it across departments.

  • 4

    Commercial AC Service Dispatch

    A Service Dispatch Agent assembles the information required for each visit, including building history, equipment records, technician notes, and parts availability. Dispatchers receive an approval-ready packet, while technicians arrive with the necessary context.

  • 5

    Finance and Management Support

    Finance agents match bills and invoices to related orders and receipts, flagging gaps and inconsistencies. An Executive Control Agent consolidates operational exceptions into a daily summary ranked by customer impact, revenue risk, and urgency.

Project Results

The agents now handle much of the investigation that once stood between the data and the decision, while employees retain control over every customer, production, service, and financial action.
Faster quotes
Custom requests are answered while customers are still evaluating their options, without waiting for cross-departmental research.
Fewer overlooked exceptions
Ecommerce issues receive an owner and supporting context early, reducing the number that remain unresolved beyond SLA.
Earlier intervention
Production shortages and inventory conflicts are addressed before they cascade into missed ecommerce shipments or delayed service visits.
Less manual reporting
Leadership starts the day with a ranked exception summary instead of waiting for information to be compiled across departments.