Advantages and disadvantages of ODOO ERP

May 31, 2021

Odoo stands for On-Demand Open Object. Oddo is simply the assemblage of applications and modules which are concomitant businesses; such as CRM, Accounting suits, Purchase management, Manufacturing management, HRMS, Sales management, E-Commerce, Warehouse management, etc. All of these modules together are called ER, i.e., Enterprise Resource Planning software. As Odoo is an open source software, along with these modules it has more than 14000 third party Apps and Plugins accessible in its app store. There is an eclipsing number of users of Odoo around the world because it is considered one of the best ERPs for all scales of businesses as it has a flexible approach.

Further in this blog, the advantages and disadvantages of employing OdooERP are elaborated. This is an elucidatory blog that will assist the reader in deciding whether or not to use Odoo ERP. It will also present a fair argument to understand the importance of Odoo ERP for your business.

Advantages of Odoo ERP

1. Overall Features and Pricing

Odoo is a platform specially designed to cater to all types of requirements in a modern business enterprise. It is a cost-effective ERP support system and an API-friendly platform with a broad range of other app integrations such as Whatsapp, Google Maps, Amazon.com, etc. There are three variants that can be employed in your business. The Community plan is extremely popular and widely used, as it dispenses an abundance of features that are helpful to back most of the ERP requirements. The Success Packs are recommended for businesses possessing 50 users and below. The third is recommended for business types with over 50 users.

2. Sales Improvement

Odoo consists of various features to boost the sales processes of a business using electronic signatures in communication, documents, upscaling revenues, etc. Its inbuilt CRM provides assistance to business enterprises for accurate sales forecasts and actionable data for making smart decisions, customisation of dashboard designs to enhance business performance. Tools like CRM and POS are user-friendly and are easy to set up.

3. Integration of Services

These tools are Odoo Project, Helpdesk and Timesheet. It has an ergonomic visual information system which assists in business planning, set up, team performance evaluation and project merits. These can also be deployed to make precise forecasts for operational projects and resource requirements. The project management tools offered by Odoo helps the user to streamline and integrate systems in the workplace, escalate productivity and improve collaboration in a team.

4. Customer Support

Being accessible can win you brownie points with your customer support. Odoo offers various sources of customer services which are accessible and basic. There is usually a limit on available resources but Odoo offers various such resources that are simultaneously available online.

Disadvantages of Odoo ERP

1. Complex set-up structure

Odoo ERP is intricate in structure and may be challenging to build or implement according to your business necessities. Many businesses have faced issues in enforcing Odoo ERP because of its slow installation process.

2. Critical Pricing Plans

Among the common complaints for Odoo is that of high pricing. After using a single module, switching to even one extra application means extra charges, in addition to the $30/month for a single user. As a result, the total tally keeps rising. However, to solve this pricing issue, Odoo has provided pricing plans to select the applications beforehand.

3. Narrow scope of support

Due to limited support servers, Odoo is unable to provide a customer support service that is available at all times for every client. Few clients felt dissatisfied as their issues could not be resolved fast enough. The pricing range of Odoos’ training, too, is considered a tad higher for a small-scale organisation.

With advancements in technology, businesses have to evolve and adapt. Odoo is a platform which covers a business’s overall and unique requirements. It holistically customizes and automates all the business processes. Managing all the business aspects technologically increases its productivity and customer approach. Odoo is a single solution to all the problems of functionality and integration of the business process as it reduces errors, decreases the cost and streamlines the working process. Ultimately, the crucial decision is to choose a software that best compliments your business type.

E2E cloud solutions are aimed at catering to resolving unique needs of any verticals, including with cloud usage. The solutions offered range from CPU Intensive cloud for high-performance computing, High Memory Cloud that is meant for larger RAM needs, Large Disc Cloud for data-intensive usage, as well as for High Disc Space. Through API integration, it’s possible to manage servers with the E2E cloud platform, using conventional HTTP requests.

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A Complete Guide To Customer Acquisition For Startups

Any business is enlivened by its customers. Therefore, a strategy to constantly bring in new clients is an ongoing requirement. In this regard, having a proper customer acquisition strategy can be of great importance.

So, if you are just starting your business, or planning to expand it, read on to learn more about this concept.

The problem with customer acquisition

As an organization, when working in a diverse and competitive market like India, you need to have a well-defined customer acquisition strategy to attain success. However, this is where most startups struggle. Now, you may have a great product or service, but if you are not in the right place targeting the right demographic, you are not likely to get the results you want.

To resolve this, typically, companies invest, but if that is not channelized properly, it will be futile.

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How can you create the ideal customer acquisition strategy for your business?

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You need to define your goals so that you can meet the revenue expectations you have for the current fiscal year. You need to find a value for the metrics –

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Reference Links

https://www.helpscout.com/customer-acquisition/

https://www.cloudways.com/blog/customer-acquisition-strategy-for-startups/

https://blog.hubspot.com/service/customer-acquisition

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By using the apparatus and datasets, you will be able to proceed with the 3D reconstruction from 2D datasets.

State-of-the-art Technology Used by the Datasets for the Reconstruction of 3D Objects

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Training with the help of one or multiple RGB images, where the segmentation of the 3D ground truth needs to be done. It could be one image, multiple images or even a video stream.

The testing will also be done on the same parameters, which will also help to create a uniform, cluttered background, or both.

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Volumetric representations and surface representations can do the reconstruction. Powerful computer systems need to be used for reconstruction.

Given below are some of the places where 3D Object Reconstruction Deep Learning Systems are used:

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  • It can be used for re-modelling ruins at ancient architectural sites. The rubble or the debris stubs of structures can be used to recreate the entire building structure and get an idea of how it looked in the past.
  • They can be used in plastic surgery where the organs, face, limbs or any other portion of the body has been damaged and needs to be rebuilt.
  • It can be used in airport security, where concealed shapes can be used for guessing whether a person is armed or is carrying explosives or not.
  • It can also help in completing DNA sequences.

So, if you are planning to implement this technology, then you can rent the required infrastructure from E2E Networks and avoid investing in it. And if you plan to learn more about such topics, then keep a tab on the blog section of the website

Reference Links

https://tongtianta.site/paper/68922

https://github.com/natowi/3D-Reconstruction-with-Deep-Learning-Methods

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A Comprehensive Guide To Deep Q-Learning For Data Science Enthusiasts

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So, read on to know more.

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State> Next state> Action> Reward

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What is Reinforcement Learning?

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Now, the understanding of reinforcement learning is incomplete without knowing about Markov Decision Process (MDP). MDP is involved with each state that has been presented in the results of the environment, derived from the state previously there. The information which composes both states is gathered and transferred to the decision process. The task of the chosen agent is to maximize the awards. The MDP optimizes the actions and helps construct the optimal policy.

For developing the MDP, you need to follow the Q-Learning Algorithm, which is an extremely important part of data science and machine learning.

What is Q-Learning Algorithm?

The process of Q-Learning is important for understanding the data from scratch. It involves defining the parameters, choosing the actions from the current state and also choosing the actions from the previous state and then developing a Q-table for maximizing the results or output rewards.

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In case the Q-table size is huge, then the generation of the model is a time-consuming process. This situation requires Deep Q-learning.

Hopefully, this write-up has provided an outline of Deep Q-Learning and its related concepts. If you wish to learn more about such topics, then keep a tab on the blog section of the E2E Networks website.

Reference Links

https://analyticsindiamag.com/comprehensive-guide-to-deep-q-learning-for-data-science-enthusiasts/

https://medium.com/@jereminuerofficial/a-comprehensive-guide-to-deep-q-learning-8aeed632f52f

This is a decorative image for: GAUDI: A Neural Architect for Immersive 3D Scene Generation
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GAUDI: A Neural Architect for Immersive 3D Scene Generation

The evolution of artificial intelligence in the past decade has been staggering, and now the focus is shifting towards AI and ML systems to understand and generate 3D spaces. As a result, there has been extensive research on manipulating 3D generative models. In this regard, Apple’s AI and ML scientists have developed GAUDI, a method specifically for this job.

An introduction to GAUDI

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What does GAUDI do?

GAUDI can perform multiple functions –

  • The extensions of these generative models have a tremendous effect on ML and computer vision. Pragmatically, such models are highly useful. They are applied in model-based reinforcement learning and planning world models, SLAM is s, or 3D content creation.
  • Generative modelling for 3D objects has been used for generating scenes using graf, pigan, and gsn, which incorporate a GAN (Generative Adversarial Network). The generator codes radiance fields exclusively. Using the 3D space in the scene along with the camera pose generates the 3D image from that point. This point has a density scalar and RGB value for that specific point in 3D space. This can be done from a 2D camera view. It does this by imposing 3D datasets on those 2D shots. It isolates various objects and scenes and combines them to render a new scene altogether.
  • GAUDI also removes GANs pathologies like mode collapse and improved GAN.
  • GAUDI also uses this to train data on a canonical coordinate system. You can compare it by looking at the trajectory of the scenes.

How is GAUDI applied to the content?

The steps of application for GAUDI have been given below:

  • Each trajectory is created, which consists of a sequence of posed images (These images are from a 3D scene) encoded into a latent representation. This representation which has a radiance field or what we refer to as the 3D scene and the camera path is created in a disentangled way. The results are interpreted as free parameters. The problem is optimized by and formulation of a reconstruction objective.
  • This simple training process is then scaled to trajectories, thousands of them creating a large number of views. The model samples the radiance fields totally from the previous distribution that the model has learned.
  • The scenes are thus synthesized by interpolation within the hidden space.
  • The scaling of 3D scenes generates many scenes that contain thousands of images. During training, there is no issue related to canonical orientation or mode collapse.
  • A novel de-noising optimization technique is used to find hidden representations that collaborate in modelling the camera poses and the radiance field to create multiple datasets with state-of-the-art performance in generating 3D scenes by building a setup that uses images and text.

To conclude, GAUDI has more capabilities and can also be used for sampling various images and video datasets. Furthermore, this will make a foray into AR (augmented reality) and VR (virtual reality). With GAUDI in hand, the sky is only the limit in the field of media creation. So, if you enjoy reading about the latest development in the field of AI and ML, then keep a tab on the blog section of the E2E Networks website.

Reference Links

https://www.researchgate.net/publication/362323995_GAUDI_A_Neural_Architect_for_Immersive_3D_Scene_Generation

https://www.technology.org/2022/07/31/gaudi-a-neural-architect-for-immersive-3d-scene-generation/ 

https://www.patentlyapple.com/2022/08/apple-has-unveiled-gaudi-a-neural-architect-for-immersive-3d-scene-generation.html

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