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Customer reference

KAHGO GROUP, INC.

KAHGO Truck Parts supports fleet owners, technicians, and truckers in keeping their rigs in top condition. They provide seamless access to a vast inventory of brand-new OEM and aftermarket heavy-duty truck parts, accessories, and preventative maintenance items. This commitment is backed by more than 40 years of industry experience from their parent company, K&G Laterovian Inc.

Industry

Overseas

Location

Sun Valley, California (USA), United States

Implemented by

Case on Odoo

The context

Optimising logistics and inventory management with Odoo ERP

KAHGO GROUP, INC. operates KAHGO Truck Parts, a specialist in heavy-duty truck parts and accessories that supports fleet owners, technicians, and truckers with access to a vast inventory of brand-new OEM and aftermarket components and preventative maintenance items.

Before the project, logistics workflows and shipments were not fully centralised, and order processing depended on manual steps that slowed operations and increased the risk of errors between inventory, shipments, and customer orders.

The priority was to ensure reliable and efficient logistics, reduce manual handling of orders and shipments, and gain better visibility over stock and operations to keep customers supplied with the parts they need, when they need them.

Their needs

Centralised logistics and streamlined order processing

KAHGO Truck Parts wanted an Odoo ERP solution tailored to their wholesale and retail operations that would centralise logistics workflows, automate shipments, and simplify the way orders are processed from purchase to delivery.

  • Centralise logistics workflows within a single Odoo ERP environment.
  • Automate shipments and cut down manual steps in order processing.
  • Gain clarity and confidence on the feasibility of the project, the approach, and the implementation timeline.
  • Finalise a clear budget and methodology while ensuring their business processes were fully understood.

The proposed solution

A complete analysis of the Odoo environment and optimised logistics flows

Captivea USA began with a complete analysis of KAHGO Truck Parts' Odoo environment, conducting business discovery workshops by theme and user group to understand their processes, confirm feasibility, align on budget and timeline, and deliver structured documentation. Building on this foundation, Captivea optimised logistics management by centralising workflows in Odoo and automating shipments, which simplified order processing and connected finance, supply chain, sales, and human resources through the installed Odoo applications.

The first step of this project is to perform a complete analysis of the client's Odoo environment.

Analysis objectives

  • To be reassured on the faisability
  • Show that we understood their business
  • To confirm a budget
  • To know and confirm how we will do it
  • Know the timeline

Analysis processes

  1. Business discovery
  2. Workshops By theme / group of people / domains
  3. Create the deliverables documents
  4. Present it
  5. Handle feedback

Odoo apps deployed

The Odoo suite on this project

All Odoo applications, activated at the pace of the client's needs.

Sales & CRM

Inventory & Manufacturing

Human Resources

Productivity

Technical

The results

Benefits & Returns on investment

What the client gained, day after day, once the solution went live.

Time saving

  • Centralised organisation of financial documents
  • Generate quotes in a few clicks
  • Quick sharing of documents
  • Simplified supply management
  • Automation of intervention schedules

Productivity gain

  • Centralised management of leads and customers, increasing sales team efficiency
  • Smoother order processing with real-time stock tracking
  • Clear visualisation of performance and key indicators
  • Quick access to employee information

Increase in sales

  • Improved client satisfaction through faster project delivery
  • Better time management that helps allocate resources to the most profitable projects
  • Identification of additional needs through ticket analysis

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