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Odoo Implementation for ERP Processes with a 16% Surge in Online Sales

Odoo ERP for eCommerce

Odoo ERP Implementation with a 16% Surge in Online Sales

Timspark offered Odoo ERP services to replace the client’s outdated, bespoke ERP system, execute CRM integration, and develop an AI chatbot to foster the company’s digital transformation.

#eCommerce

#Odoo

#ERP

Client*

Our client is a US-based industrial equipment and components retailer with 50 employees. It is strategically positioning itself for business expansion within the fiercely competitive realm of e-commerce.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Project in numbers

duration

7 months

team

13 specialists

The team involved in the project

industry

E-commerce

solution

Odoo ERP for Ecommerce

technologies

Odoo, JavaScript, React, Python, Google Ads API, PostgreSQL

3 x Business analysts

1 x Project manager

1 x Back-end developer

1 x Front-end developer

2 x Odoo developers

2 x QA engineers

hire the team

Challenge

Our team aimed to solve the client’s outdated ERP issues like reporting problems, slow performance, and data silos with highly flexible and customizable software.

Objectives

Improve retail pipeline management

Build smarter analytics and reporting

Ensure advanced integration capabilities

Solution & functionality

We chose Odoo implementation to replace the client’s outdated ERP, leveraging its standard functions to meet 99% of their needs and adding custom features as required.

Enterprise Resource Planning

Our team’s Odoo ERP implementation automated critical business processes like inventory management, order processing, and financial reporting. We configured default features and added auxiliary functionality for online sales and POS terminals. Additionally, we implemented flexible pricing and compliant tax management and financial reporting modules.

AI-powered Chatbot

Using our AI expertise, we created an intelligent chatbot with advanced algorithms to automate rule-based tasks, reduce staff workload, and free up resources. Seamlessly integrated with the client’s website, resource planning, and customer management systems, our chatbot employs advanced AI to read user intentions and add human touch to automated customer support.

Customer Relationship Management

After the Odoo ERP implementation, we customized the CRM to integrate seamlessly and expand ERP capabilities. This centralized hub manages customer data, leads, and sales activities, automating processes like order generation and inventory updates. The CRM also streamlines customer management by centralizing contact details, purchase history, and communication logs for easy access and updates by sales reps.

On top of that, we automated the e-commerce pipeline from lead capture to delivery. Pre-sale activities involve lead assignment and tracking, with additional features: 

  • Lead scoring
  • Automated emails
  • Reminders for managing quotes and feedback.

Using Odoo-based CRM, sales reps easily handle customer support inquiries, service requests, and follow-ups to enhance customer loyalty.

Paid Search Advertising & Branding

We offered expert guidance on optimizing digital sales through Google Ads to drive increased visibility and targeted traffic. Our specialists also led a brand transformation, which resulted in heightened brand awareness and an influx of new customers to the client’s website.

QR Codes

As a tech-driven ERP Odoo implementation partner, Timspark improved inventory management using QR codes and enabled sales reps to track and label items accurately and streamline point-of-sale transactions. The unique QR codes printed on customer items facilitate quick and accurate identification, checkout, and access to discounts and promotions.

Results and business value

Timspark’s Odoo implementation liberates the client from outdated systems and fosters business growth. Our solution strategically enhances operational efficiency and profitability across all marketing activities.

Benefits for client

Timspark has successfully implemented a comprehensive Odoo system that replaces outdated ERP and boosts growth by integrating a custom CRM, QR codes for inventory, an AI chatbot, and optimized Google Ads. 

38%

more website visitors

16%

increase in online sales

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We appreciate your interest in Timspark

    Computer Vision Solution for Effective Advertising Placement

    computer vision device

    Computer Vision Solution for Effective Advertising Placement

    Our team developed an on-premises device based on AI technologies for detecting individuals and showcasing advertisements on DOOH displays in transportation or outdoor locations.

    #AI

    #WebDevelopment

    #Ecommerce

    Client*

    The client is a world-leading provider of comprehensive visual technology solutions.

    *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

    Project in numbers

    duration

    11 months

    team

    5 specialists

    Team involved in the project

    industry

    E-commerce

    solution

    Computer vision and artificial intelligence device for target audience analysis

    technologies

    Python, Pytorch, Cnvrg.io, AWS SageMaker, GCP Vertex AI, Fastdup, Pandas, Numpy, Scipy.

    1 x Lead Data Scientist

    2 x Data Scientists

    2 x Data Engineers

    HIRE THE TEAM

    Challenge

    The fundamental idea was to create a device harnessing AI technologies for analyzing captured images, discerning the audience’s average attributes, and enabling the presentation of targeted advertising.

    Related objectives

    Deploy the computer vision model on edge devices with limited GPU and RAM

    Train the AI computer vision model with labeled data

    Solution & functionality

    In collaboration with the client’s team, Timspark created a compact on-premises computer vision device that can capture and analyze visual data.

    Machine learning model training for successful object recognition

    The team developed and fine-tuned the classifier model to meet the project’s unique requirements. The model analyzes received images, determines the average class among all attributes of captured objects, and subsequently identifies the target audience for the advertisement.

    Deployment on Jetson Nano and Jetson Xavier

    To address challenges linked to the limited memory and slow data processing, the model was transformed into ONNX and TensorRT formats, ensuring its seamless deployment on edge devices such as Jetson Nano and Jetson Xavier.

    Results and business value

    Our specialists successfully developed a classifying model that detects and tracks individuals within the camera’s field of view. The model analyzes the captured visual data, accurately identifying selected class among all attributes, and displays targeted advertisements on nearby screens in accordance with the specified class request.

    Benefits for client

    The client successfully applies the computer vision software to show the advertisement effectively to the relevant audience.

    Based on the successful results, we are going to improve the model further in our ongoing collaboration.

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      Migrating a non-scalable corporate system to a cloud-based solution

      Cloud migration service

      Migrating a Non-Scalable Corporate System to a Cloud-Based Solution

      Our team launched a cloud migration solution that enabled the company to streamline data analytics and automation within its corporate platform.

      #Cloud

      #DataManagement

      #DevOps

      Client*

      Large e-commerce platform specializing in clothing, equipment, and accessories. 

      *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

      Project in numbers

      duration

      7 months

      team

      14 specialists

      Team involved in the project

      industry

      E-Commerce

      product

      Cloud migration platform

      technologies

      Azure Data Factory, SSAS, Azure DevOps, Power BI, Salesforce Cloud, Python, Scala, SQL

      1 x Team Lead

      1 x Solution Architect

      6 x Data Engineers

      4 x Business Intelligence Developers

      1 x Business Analyst

      1 x Project Manager

      HIRE THE TEAM

      Challenge

      The major objective for the team was to migrate the customer’s corporate system to a cloud-based Power BI solution, and thus enhance its scalability and automation.

      Related objectives

      Reliable data storage

      Enhanced functionality for analytics

      Streamlined business procedures

      Solution & functionality

      The team moved the on-site platform to the cloud, constructed data repositories and refined analytics dashboards.

      Curated databases

      The initial challenge was the substantial amount of scattered data to migrate, some of which came with numerous discrepancies and some as part of unclean datasets. However, the team managed to make the transfer process as smooth as possible.

      To address the problem, our tech specialists created data marts (data storage systems specific to the organization’s business units): Operative, Employee Management, Financial, Supply Chain, and E-commerce. Data can be transferred here from various origins such as internal APIs, Salesforce, and Google Analytics, then converted and stored in the ultimate data storage.

      Full-cycle automation

      The team has successfully organized all data from various sources to be accessible within the Power BI platform, Despite challenges like data inconsistency and peculiarities in data representation. We implemented end-to-end workflow automation integrating all processes with data, such as extraction, mapping, filtering, as well as the creation of data marts and dashboards.

      Enhanced analytics dashboards

      With the existing cloud solution, the data is securely stored and automatically updated daily. Users can view all the selected data of internal processes, personnel administration, financial, supply chain operations, and marketing activities on customizable dashboards. Additionally, they can tailor how the data is displayed per their requirements. As a result, the end customer gains the basis for timely and data-driven decisions.

      Results and business value

      We have developed a reliable automated system with maximum code cleanliness and highly robust clusters for multiple data operations. The solution as a whole enables more resilience for the company and more effective data-driven decisions.

      Real-time data synchronization

      Information on products, their specifications and availability from the e-commerce platform and the internal system is being aligned and updated on a real-time basis.

      Visualization via dynamic dashboards

      The customer can analyze events inside the customer’s journey, from their initial website visit to the purchase (with data from Google Analytics and Salesforce), and prepare more customized campaigns based on their behavior.

      Improved delivery process

      The delivery process became more streamlined at all stages, on both the retailer’s and the customer’s sides.

      Benefits for client

      The team got positive feedback from both the customer and the end-user on the exceptional standard of development and efficiency of the app, as well as the effective communication throughout the project.

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        Let’s build something great together

          Let’s build something great together

            Let’s build something great together

              Let’s build something great together