AI/ML in Healthcare – How it is Turning Out to be the Great Savior?

Healthcare sector is considered as the living god on earth. And during the last 2 years of pandemic, it was proven again. How can we forget the time when the healthcare sector single-handedly took the load, to save millions of lives, on themselves? Their hard work and continuous efforts were commendable.

However, it is not all well for the healthcare industry. Problems like lack of man force, lack of availability of medicines in spite of having constant attempts of full capacity of medicine productions keep on making to the news. Also, due to continuous closeness with the infected ones, many healthcare persons lost their lives. It feels disheartened to experience such environment around us.

Download Guide: Introduction to Artificial Intelligence & AI Builder

In this modern era of technology, healthcare sector has though seen a lot of technological advancements but with the time coming ahead it still has the opportunity to see more advancement.

See how this sector can leverage (or, is leveraging) the advantages that Artificial Intelligence brings to the table.

AI/ML and Healthcare – The Connection that will bring Benefits for all

In last few years, Artificial Intelligence and Machine Learning has seen a great rise and are one of the tech-future of many industries with its smart and efficient working pattern and easy to integrate capability in various sectors. One such sector amongst it is Healthcare where AI and ML is growing its legs with latest trends and great understanding of human health, better medical procedures and detecting the accurate chronic diseases.

Also Read: Predictive Analytics in Healthcare

Machine Learning has a wide range of healthcare applications to offer, ranging from simple accurate case management to accurate disease detection to an accurate operation of patient body with the use of robotic arms.

With having a capacity of handling a large amount of data precisely, machine learning algorithms are very useful to help doctors with the monitoring the patient health with past history to even suggest the proper medicine for each patient.

Let us see few of the most useful applications of Machine Learning in the healthcare sector.

6 AI/ML Applications of Machine Learning in Healthcare

1) Handling Medical Data

Machine learning is revolutionizing the health-care sector by incorporating cognitive technology to uncoil a large number of medical records and to do any power diagnosis. Machine learning aids in predicting a user’s purpose.

By incorporating machine learning into an organization’s workflow, it is possible to create a tailored user experience that allows the company to make better decisions and take better actions that benefit the patients. As a result, machine learning aids in the storage, collection, and reform of data.

Also Read: Transforming BI with AI and ML

2) Support in medical Imaging and Diagnostics

AI is getting much better with understanding the medical images and scans. This helps in identifying important features and insights from the films and scans prioritizing the critical cases needing some immediate attentions for radiologists or cardiologists. This reduces the potential faults or human error in understanding health condition and help precise diagnosis in less time.

A huge amount of image data can be used for screening which can be a stressed work. AI algorithms holds the capability to scan, read and identify this large amount of data in quick time and also compare it with other studies to generate any unusual change or unseen pattern for each patient. This helps professional to analyze critical information quickly.

3) Reduce cost of new medicines under development

For development of any new medicine, a lot of research is needed and hard work is needed to understand the molecular structure of any new disease. Thanks to supercomputers which are very useful in understanding such research, molecular structure from the stored database to predict which medicinal drug can be useful for a particular disease.

Also Read: Natural Language Processing for Manufacturing Industry 

With the help of Convolutional Neural Networks (CNN), a medicinal algorithm named as AtomNet was developed. This algorithm predicts the binding of small molecules to proteins after rigorous calculations. It analyzes data prepared by reading thousands of protein structures and millions of experimental measurements for this purpose.

This system also enabled the use of CNN to detect accurate and effective drug from the database, reducing the cost of medicinal drug development. This method was very successful while the development of Ebola virus drug in 2015.

4) Providing the Medical Assistance with accurate prescribed medicines

Recently medical chatbots are having a lot of demand with providing medical assistance to needy ones in emergency and also for those who are not easily reachable. Medical chatbots uses the several ml algorithms depending on the capability and use. Basic chatbots which use Natural Language Processing are useful for detecting the disease based on symptoms told to them and prescribing the accurate medicines for the disease.

Business Solution: Smart Product Recommendation System

Advanced medical chatbots also come with the feature of uploading the medical reports, live 24×7 doctor consultations, appointments booking for tests and also reminder function for the patients to remind them for the tests to be carried out on time. Such chatbots also analyze the medical reports and finds out the important information of the patient and sends the data to the concerned doctor which helps the doctor to attend the patients in early stage of disease and also with all important conditions in front of him from past as well.

5) Machine Learning in Accurate Decision making

It is very tough to make any decision during emergencies but AI has also shown its capability in decision making power during any medical emergency. One of the best examples of decision-making capability of AI are Surgical Robots that are capable of reducing the errors during the critical surgeries and helping the surgeons with the quick action during emergency. Surgical Robots have shown in several scenarios where the critical surgeries have been performed very smoothly very minimal mortality rate. They are beneficial in complex surgeries with better accuracy than any others.

6) Detecting Early stage Diseases (as Critical as Cancer)

With the help of Artificial Intelligence and Machine Learning, smart wearable devises have been developed which can be attached to human body and analyze the human body condition very accurately reducing the chances of mortality with the detection of diseases at an early stage.

One such example is smartwatch with the features to analyze the hearth rate, blood pressure, oxygen level and detect the human condition to warn from a possible cardiac arrest or reduction of blood pressure or oxygen level. Such devices also have features of sleep hours calculation, activity control, breathe control, water alarm and many more which can be recorded 24×7.

Recently AI is being developed with the most critical disease of Cancer Detection with its severity and accurate diagnosis which will be useful in reducing the Mortality rate from Cancer. The Deep Learning algorithms are working with the large image datasets to understand and detection of the possible cancer cells warning the patients with the severity of it and accurate diagnostics. Also, Machine Learning algorithms are being used to classify the accurate cancer type with the data provided or by analyzing the patient condition and medical reports.

The Final Word

Artificial Intelligence and Machine learning have many more applications to offer in Healthcare sector and with the use of these technologies healthcare sector can be supported with various hands in less to no time.

With the advancements in Artificial Intelligence techniques and machine learning modelling, soon AI will become the very close friend of Doctors helping them in almost all aspects of the medical sector allowing them to do new researches for betterment of mankind.

Stridely Solutions work closely with healthcare pioneers from around the world to help them realize and utilize the power of cutting-edge technologies like Artificial Intelligence and Machine Learning.

Looking for a reliable service provider in this sector? Consult with us to understand how we can help your medical/healthcare business. Contact today.



Odoo ERP Integration in your eCommerce Platform: Why is it advantageous?

It’s overwhelming to manage a company’s eCommerce website. Have you felt that too? Undoubtedly, this could be a severe burden for the executives. The leading task to update the stock details and products manually could sum up endless working hours along with the configuration of the numerous location-oriented characteristics for every product.

The eCommerce facilities are the leading time trends, and the vast number of consumers who once loved to haul the shops is slumping. Here comes the necessity of using Odoo ERP! It provides immense support for the integration and various operational management involved in eCommerce implementation.

Also Read: What Makes Odoo ERP the Best Pick for SMEs?

Are you willing to know how Odoo ERP integration benefits your eCommerce platform? Let’s get started!

Why opt for Odoo ERP?

Before starting with Odoo ERP integration, let’s understand why choosing Odoo is the best-in-class solution for your eCommerce platform. However, it’s better to go for ERP, which can ensure comprehensive support for your business promotion. The open-source platform of Odoo provides support for the management and integration of diverse operations included in the eCommerce implementation.

On the other hand, it gives numerous integration support for your eCommerce business. It enables the usage of marketing supports, an effective website, and the introduction of blogs for your business promotion.

Benefits of Odoo ERP Integration for eCommerce Business

  • Represent eye-catching product pages

The longer and eye-straining descriptions with feeble pages have already become outdated. You need to have top-notch product pages for your eCommerce website in order to attract maximum traction. Therefore, an Odoo eCommerce module allows you to create enticing product pages consisting of numerous elements, which are cautiously placed utilizing the “drag and drop” feature. You can customize your online store’s layout, look, theme, and color.

Moreover, Odoo ERP lets you make last-minute changes to fulfill your customer’s expectations. Enhancements and changes can be done at daily intervals to incorporate maximum features into your online store.

  • It’s a one-stop solution

Oddo ERP integration for your eCommerce works as a one-stop solution for managing products, sales orders, customer relations, e-learning, product categories, inventory management, blogs, and forums. It’s a beneficial solution for your eCommerce business as the Odoo software controls from one platform to every activity of the organization, including the following:

  1. Shipping details
  2. Movements
  3. Inventory levels
  4. Status
  5. Details are based on the sales, which can be tracked from the eCommerce website’s user portal.
  • Manage every customer’s information

Odoo ERP solution helps you keep track of your customer’s purchase and search history and manage an effective customer database. With the ERP supports, you can quickly detect the details with the help of buying history, wishlist, and other details. With Odoo, you can send alerts to your customer about a product of their choice and combine the customer segments for marketing campaigns.

  • Faster ROI and profitability

Do you know what your business pain point is? Well, it’s getting rapid returns! But with Odoo ERP integration, your eCommerce business helps you acquire faster ROI and maximized profitability by executing an accurate assessment of your inventory and sales through automatic stock adjustments and reports.

The ERP lets you stay scheduled with upgraded customer details by tracking claims and orders. Apart from that, your customers can see or download their invoices and track their pending shipments, order status, and deliveries.

  • Lower operational costs of your eCommerce business

Odoo ERP helps reduce the operational charges as the order details are updated to its database in real-time. Also, the valid and lost details never exist on the Odoo platform. It will lower the technological and human errors which have been engendered. The customers are often showcased with the different orders and their shipping details to give them the information and evaluate them as per their requirements.

  • Facilitates multistore management

The Odoo ERP platform enables users to manage countless stores at numerous locations with the help of a single platform. Those multiple stores’ inventory operations can be managed and assessed through the similar Odoo platform.

Moreover, the installation of point of sales methodology manages the inventory and multistore operations at numerous company stores. Hence, your company’s inventory management can be carried out by controlling various warehouses and systematizing its operations according to the user’s needs.

  • Payment Gateway Integrations

Every business has different payment options as it’s cumbersome to find a one-size-fits-all solution for your eCommerce business. Customers should be offered various payment options for their convenience.

Here comes Odoo ERP integration and extensions, which help businesses customize and integrate various payment modules, such as Credit/Debit cards, PayPal, cryptocurrencies, wallets, and many more.

  • The quick and hassle-free checkout process

If you have been dealing with the issue of cart abandonment in huge numbers, it’s not a positive move for an online market. It could be the postponed checkout process, which might compel the customers to end the purchase midway.

You need to make sure they have a hassle-free checkout method using Odoo. Its immediate purchase, e-payment gateways, and invoice generation assist the business in reducing abandoned carts.

  • Shatters data silos to boost visibility throughout your business

Siloed data is the biggest challenge, which stands in the eCommerce businesses’ way. It impedes you from getting an integrated view of your experience and operational data necessary to accelerate your marketing growth and strategy.

Before Odoo ERP integration emerges, we can’t look into the different departments for data, and also, we don’t need to feed data into the system manually.

But nowadays, we can check that the eCommerce application contains all the relevant data, such as product information, shipping information, customer feedback, and inventory levels. Therefore, by de-characterizing data from diverse systems, Odoo ERP considerably protects your efforts and time.

  • Complete customer satisfaction

The survey option of Odoo lets the end-user combine customer feedback and product options on account of the sales executed and strategizing sales options as required. Information will be given to the clients by assessing features and order details showcased on the customer dashboard of your eCommerce website. The elements or availability of product returns and delivery will also donate to customer fidelity and contentment in return.

The Odoo platform allows its users to control and manage every operation of your eCommerce website if unified with the software. This, in turn, will be the most advantageous for the organization and customers.

  • Quick report generation

Countless analytical reports will be authorized to be produced in terms of eCommerce services and sales of products by the Odoo ERP platform. This software lets the users produce balance sheets, analytical reports, profit-loss statements, and other organization financial reports. All these reports can be filtered, personalized, sorted, and grouped according to users’ needs.


Well, that’s all for now, but Odoo is still growing. For an eCommerce business to succeed, you must appraise significant aspects, such as streamlined navigation, enticing store appearance, safeguarded eCommerce transactions, hassle-free checkout process, etc.

Odoo ERP integration offers supreme advantages to your customers while allowing businesses to automate and streamline their business procedures. You can discover endless possibilities with Odoo due to its easy-to-integrate sales management and robust inventory features. In brief, Odoo is the best contender for every business that wants to step up in eCommerce.

Interesting in Stridely’s Odoo ERP Integration services? Let’s discuss things further.



Operational Data Provisioning – Fully-Explained

Data, created for business purposes, is known as operational data and covers configurational data, master data, transaction data, and any other data. To make most of this data for further processing, data provisioning is done.

SAP offers a dedicated framework for this function that is known as ODP or Operational Data Provisioning. A part of the SAP ABAP application, ODP is capable to provide end-to-end support in workflows such as data extraction and replication.

Operational Data Provisioning – Meaning and Overview

ODP or Operational Data Provisioning is the technical infrastructure used widely to support two distinct applications in a way that data extraction and data analysis becomes a smooth task. The two used applications in ODP are Operational Analytics and data extraction and replication.

Also Read: Understanding the Know-How of Statistical Analysis of the SAP BW4HANA Infrastructure

Operational Analytics is the application used for OLAP analysis implementation on application data. The analyses will only be done locally in the application system. Usage of Operational analytics demands BW configuration in the application system and can work without a pre-configured Data Warehouse. It also works without the BW system data duplication and makes direct data accessibility possible.

Data Extraction and Replication refers to the data offering to multiple external consumers like SAP BusinessObjects Data Services.

Also Read: SAP DWC: The Future of Data Warehousing

It’s a part of the SAP ABAP application system and plays a crucial role in the delta mechanism in these two application scenarios. When the delta procedure takes place, the ODP-provided data is automatically written in the delta queue with the help of an update process. Or else, it’s passed to the delta queue using the extractor interface.

Once this process is done, the targeted applications or ODQ/ODP customer comes into action to retrieve the delta data for further continuation.

ODP is functional in SAP BW/4HANA and SAP BW. Alongside, it’s highly useful to proffer data to other SAP services such as SAP Data Services or SAP HANA Smart Data Integration.

Also Read: Stay Ahead of the Competition with SAP HANA Smart Data Integration: Here’s How

ODP Framework Advantages

ODP brings multiple advantages. The top one is the immediate and direct data delivery to multiple end-users at a time that accelerates the data analysis process. Such sort of data delivery is not possible with a traditional delta queue.

Its usages also permit the end-user to directly load the data into the BW InfoProviders and bypass the Persistent Staging Area or PSA layer.

When clubbed with delta queues, ODP takes over the essential workflows like data service monitoring and saves a huge deal of time and effort.

Delta queue store the operational data in a compressed form that make data processing easier and quicker than before.

The requested or recommended data changes in a delta queue can be accessed by multiple target systems that increase the data reach.

Delta queue retains the data for a specific time and supports the data recovery as a backup is created. So, even if a cyber-attack happens on your operational data, you’ve got a recovery strategy in place.

Pre-requisites for Operational Data Provisioning

There are two aspects of Operational Data Provisioning, the ODP provider and the ODP consumer. Both these aspects should be equipped with certain minimum operational requirements, which are presented as below.

  • Pre-requisites for ODP Provider

ODP providers include SAP applications featuring ODP functionality such as SAP Business Suite, SLT, and many others. To ensure effective delivery of ODP, these ODP providers should be equipped with certain SAP ABAP Application package components like SAP_Basic<730- SAP Notes 1521883 ODP Replication API 1.0 and SAP_Basic>=730- SAP Notes 1931427 ODP Replication API 2.0

  • Pre-requisites for ODP Consumers

ODP consumers are the applications using ODP for data extraction such as SAP BW/4HANA or SAP BW. Such ODP consumers should be running on BW 7.40 SP5 and support all the databases to use ODP functionalities.

In case ODP consumers want to create and use ODP Source System in SAP

BW 7.3x target systems need to adhere to certain SAP Notes requirements.

Key Use Cases of ODP

The most common use cases of ODP are as mentioned below.

  • ODP Provider (Source System) that includes SAP DataSources (Extractors), ABAP CDS Views, SAP BW or SAP BW/4HANA systems, SAP Source System via SAP SLT, and SAP HANA Information Views in SAP ABAP based Sources
  • ODP Consumer (Target Systems) consists of applications like SAP BW, SAP BW/4HANA, and SAP SD.

Understanding Operational Delta Queue (ODQ)

Operational Delta Queue or ODQ is the key component of ODP and plays a crucial role to transfer data between the ODP source and ODP consumer so that the data extraction and replication process can start off. Basically, ODQ is the physical queue offered in the source system and is the replacement of RSA7. It features many additional functionalities that can access via tcode ODQMON.

The data stored in ODQ is in highly compressed form and is retained for a while, as a part of the backup strategy.

ODP consumers have the freedom to decide for how long the ODQ will retain the data. By default, it is retained for 24 hours.

There is three retention priority awarded to the end-users. Here is what we meant.

  • Recover a canceled delta process
  • Recover data having low relevancy
  • Recover data having medium relevance

Because of this functionality, it’s easy for ODP subscribers to re-load the data anytime and anywhere. In ODQ, multiple data request capabilities are offered. For instance, subscribers can request multiple data types from the source.

Additionally, subscribers are allowed to ask for a snapshot or full copy of data. This functionality is enabled in ODQ, integrated with all the BW DataSource, and doesn’t ask for any activation or added subscription.

In case one tries to change the data or make a delta request, delta initialization is required. This functionality is supported by the leading BW DataSource and can be activated by a Push or Pull mechanism.

Delta Types for ODQ

The two key types of delta types used in ODQ are as mentioned below.

  1. Delta Type ‘D’ – It refers to the delta records, written by SAP application directly into ODQ PUSH. This delta data type is either stored in ODQ distinctively or is written in delta data records groups. In every situation, delta data records are present in ODQ for easy accessibility by the SAP source system.
  2. Delta Type ‘E’ – Delta type E is the second delta type and refers to the data that ODQ extractors offer on request or demand. The term is applicable to the data record that is placed in ODQ by the extractor and then further transferred to the SAP target from there. This delta record establishes the fact that there is no relationship between ODQ and corresponding subscriptions.

When Delta type D or Push mechanism is into action, there will be direct data writing from the application into the delta queue. From here onwards, data will be accessible by the subscriber. The real-time example of this process is All Logistic DataSources.

When Delta type E or Pull mechanism is into action, ODP will analyze or extract the delta records using extractor on request. All FI data sources are what work in this manner.

ODQ Tables

ODQ uses three kinds of tables to store the delta requests or data. The first kind of table is ODQDATA_C which contains compressed initial request data.

ODQDATA_F is the second table type table that features compressed full request data. Lastly, we have an ODQDATA table that consists of compressed delta request data.

The Right Kind of Assistance Is By Your Side

Stridely Solutions  have earned the unmatched competency and expertise in SAP HANA databases and SAP HANA Cloud Platform. We can guarantee for 100% satisfaction and customized implementation when you bring us on board.


A Guide to ADSO Functions in SAP BW4HANA

SAP BW/4HANA users must be aware of ADSO Functions as this is the core of the data modeling, storage, and consolidation. Having diverse implementation and utilities makes this tool a must-have for perfected data analysis seekers.

This post throws light on the meaning, implementation, and utilities related to ADSO Functions so that one can make most of it.

Also Read: The Write Interface enabled ADSO Ability for SAP BW/4HANA

ADSO Functions – Meaning and Overview

ADSO stands for Advanced DataStore Object and refers to the primary and pre-integrate persistent object, offered with SAP BW/4HANA solution. The object is used widely in the data modeling, data storage, and data consolidation-related tasks in the SAP BW/4HANA system and is suitable to use in multiple workflows as per the selected properties.

Recently, SAP BW/4HANA has got the updated request management functionality. As per this recent update, ADSO is now equipped to handle the frequent loading and huge databases. When compared with InfoProviders, ADSO functions are more efficient as they can modify their functions while causing no damage to the data integrity. Also, table content can be modified seamlessly in case the data type is altered.

Also Read:  Your Modern Data warehouse for Elevated Needs

The feature is only available for BW 7.40 SP8 or above. Other than this, its seamless implementation demands starting with at least 7.40 with SP9 or SP10.

What makes this feature gain an edge over other functions is the advanced and modeling user interface. BW/4HANA users are no longer required to use customary SAP GUI to get started with ADSO as it’smodeled in the Eclipse environment.

ADSO Tables

Now that the meaning of ADSO functions is clear, it’s time to understand the ADSO structure.

Structurally, there are three core tables that construct the ADSO function. The three key tables are:

  • The inbound table where data is loaded at the beginning of data modeling
  • Changelog table is used to carry the 0RECORDMODE value that is used to trace the single record history.
  • Active data table- Once the end-user makes a request and it gets activated, the inbound table data is copied to the active data table. The data is then added up together as per the grouped behavior.

All these tables are constructed in the background while using ADSO. BW/4HANA system makes use of these tables automatically as per the pre-defined properties. It’s crucial to understand that all these three tables are generated by all means as they are essential for seamless data model alteration when the huge database is handled.

Also Read:  SAP DWC: The Future of Data Warehousing

ADSO tables don’t exist alone as few views are created in the background automatically. These views are views for extraction, views for reporting, and views for external access.

Along with the fundamental tables, validity and reference point tables for inventory data are also created in ADSO functions.

ADSO Modelling Properties

Under the Standard DataStore Object, there are three core modeling properties.

  • Write Changelog

This property leads to the auto-save of delta (any updated, erased, and altered record) in the changelog that is further used to extract delta.

  • Snapshot Support

This modeling property is used when Data Source distributes the present dataset as “Full”. Activation of Snapshot support leads to auto-identification and update of the deleted data record. Also, this modeling property allows BW/4HANA system to identify the active data table content while load request is not taken into consideration. In the changelog, Snapshot support is written/recorded as a reverse image.

  • Unique Data Records

This modeling property is required when load unique records are stored in the ADSO. Activation of this property makes BW/4HANA system inspect whether or not unique records exist. In case of the prior existence of a unique record, this property will be canceled with an error.

Staging DataStore Object

Multiple ways, based upon its properties, are there for staging ADSO.

  • Inbound Queue Only

This type of ADSO features no changelog and full or delta extraction will lead to an Inbound table. This ADSO function is not suitable for reporting and analysis purposes.

  • Compress Data

By default, data is written in the inbound table, and the selection of Compress Data will make data to be written in active data table after it reaches the inbound table. The data aggregation and active data table writing are decided by the semantic key.

Also, this function displays only the activated data. One can’t make request-based data deletion in this function. Only selective data selection is possible.

  • Reporting Enabled

Activation of this feature will lead to continuing the presence of data in the inbound table when the data loss request is active. In case when trying to continue with data-target loading, data will be always extracted from the inbound table. When a query is executed, the active table will be accessed automatically.

Data Mart DataStore object

This function is mainly used for analysis and reporting and features auto data loading in the inbound table. Data gets copied from the active data table when it’s activated and is then coupled as per the aggregation behavior. After this stage, data will be deleted from the inbound table and the changelog remains empty.

Data required for any further data-target update will be fetched from the active data table to support the early and exclusive extraction. Upon query execution, active table data can be accessed that makes only the previously activated data visible.

DataStore Object for Direct Update

This function makes the direct data loading into the data active table and supports full data extraction and is readable from the table of active data. Data present in the active table is available for reporting soon after the loading.

ADSO Special Properties

All the above-stated options and their settings decide the activation of three special ASDO properties.

  • Inventory-Enabled

Enabling this table will lead to the creation of two additional ADSO tables, validity and reference point table.

A validity table is used to log the time interval against which the non-cumulative values are loaded into InfoProvider.

The reference point table is automatically updated when inventory-enabled ADSO data is activated.

  • Planning-Enabled

This setting enables the writing back feature in connected planning applications such as Office and Lumira dashboard. End-users are permitted to move back and forth between plan and load mode while performing essential actions.

  • DataStore Object with Write Interface

Data stored in the ADSO function is equipped to move to an inbound table with the help of tools like Data Services. The data moving happens using SAP Cloud Platform Integration via PUSH. The DataStore writing API is open for third-party and external tools while the feature lacks a certification process.

The property is applicable on all the standard DataStore and staging objects. However, it’s not compatible with Inventor enables or Planning enabled function.

Ending Notes

Data modeling in BW/4HANA is no longer rocket science. It’s a child’s play because of ADSO functions. Using them diligently and adequately leads to huge time and efforts savings in data modeling tasks while enjoying unmatched simplification and ease.

ADSO functions and its offering have made SAP BW/4HANA stand out from the crowd as a dependable data warehousing solution. With attributes like 100% accuracy in the transactions and analytics, using it is certainly the best bet to make.

With this solution, it’s easy to modify and leverage the current outdated landscape and embark on an impressive data warehousing journey. However, having professional and verified assistance to install, monitor, and manage SAP BW/4HANA matters the most.

At Stridely Solutions, one has the facility to ensure assiduous utilization of SAP BW/4HANA as there are seasoned SAP experts by your side. The entire data modeling journey become effortless than before.




What Makes Odoo ERP the Best Pick for SMEs?

SMEs (small to medium-sized businesses) sector is one of the famous models operating globally. The entrepreneurs from this fastest-moving world contribute to cutting-edge technical revolutions. To develop and keep pace with the digital transformations, SMEs adopt Enterprise Resource Planning or ERP solutions massively.

The most commendable thing about using an ERP for SMEs is that all assigned tasks and operations are accomplished through a single dashboard control with data sharing options and built-in analytics.

Here comes the Odoo ERP. It’s the best-in-class and all-inclusive system, offering many features and business applications for hassle-free enterprise management. So, apart from these glimpses, you must know more about what makes Odoo ERP the best choice for SMEs. Then only will you be able to utilize it right.

Let’s dive right into it.

What is Odoo ERP software?

Odoo ERP is open-source software, previously well-known as OpenERP. It covers a broad array of modules and apps, for example, sales, project management, development, CRM, management of HR, etc.

The formation and execution of Odoo ERP let you select from numerous models available in the store. The official Odoo ERP solution offers you premium end-to-end services, for example, integration, personalization, deployment & implementation, and support for practical training.

In brief, Odoo ERP Development and Implementation will allow you to boost your company’s productivity and processes.

Stridely is Odoo Partner

Why choose Odoo ERP for SMEs?

Odoo has already become the preferable ERP solution for every SME, providing intuitive and powerful features. This is how the SMEs can now be used to manage various business verticals, such as trading, manufacturing, retailing, etc.

Also, with Odoo ERP, companies don’t need to pay a licence fee, making it a complete cost-efficient solution for SMEs. Let’s see more compelling reasons.

1.  Customization-friendly themes and apps

As Odoo ERP is customization-friendly, it can be quickly integrated according to business requirements. Also, a customized Odoo ERP with integrated ERPs can be installed expeditiously without any professional’s help. The Odoo developers assist the businesses in installing the Odoo ERP applications with various offers, such as customized apps, 24/7 approach, and so on.

2. Scaling of your business

Odoo ERP was created with the notion that SMEs have diverse requirements at specific times as they thrive. Countless factors, such as the scope of operation, business size, and resources, affect the most apt system.

Fortunately, Odoo is formed with the modularity concept, implying the smartphone applications, which allow you to customize your device. The biggest functionality of this management software arrives from a wide series of closely integrated apps. Those can be rapidly combined to create an instance attuned to the specific needs of your business.

Indeed, the functionality range for small and medium businesses are pretty huge, but the piece of great news is the models can be implemented as wanted, and those can stand independently.

3. Odoo ERP is economical

The Odoo platform’s implementation is deeply affected by the category of SME’s economic tools as it can be acquired on a subscription basis, advantageous for SMEs. Also, as far as the operations costs are concerned, it’s on the lower side than the available ERP solutions, making it an effective and abundant choice for SMEs. Therefore, Odoo ERP offers all the capabilities at a much moderate to lower rate without jeopardizing the company’s budgets.

4. One-in-all application

As every business needs gear to develop, Odoo ERP solution can provide almost everything to jump out on revenue! From hassle-free buying, production, and inventory to delivery, Odoo ERP helps SMEs grow. The section which should be managed is enormous for any business, and for every section to be controlled by the company must have various software apps, such as CRM, Fleet management software, and HR software.

The small organizations are unable to handle the huge cost of various software management. Here, Odoo ERP comes into play to safeguard those companies by bringing every practical and controlling department under a single platform. Small, medium and large corporations can pick up their preferred software from the Odoo app store at a very nominal budget.

5. Streamlined User Interface

With Odoo ERP, navigation becomes quick and hassle-free due to the captivating laid out and streamlined interface. In contrast to other ERP solutions, which are cluttered and challenging, Odoo stands out from the crowd because of its simple UI that allows hassle-free execution of a function.

6. Odoo provides comprehensive solutions

Odoo ERP, as a business, can be availed by various sectors of enterprises. Being an open-source ERP software, Odoo is mainly built for SMEs with modules accessible to specific industries’ manufacturing and trade services.

On the other hand, the biggest benefit of using the Odoo ERP solution is that it’s a straightforward web-based ERP application where you can update and modify information from anywhere. Some other enticing features that the companies can use are:

  • Integration with eCommerce
  • Inventory management and assessment
  • Reporting management
  • Point of sales
7. Maintains transparency

Odoo ERP maintains transparency by lowering the need to re-enter or export data, causing lesser errors and glitches and leading to seamless business performance. Also, Odoo ERP increases productivity, which is a crucial aspect of every SME. It drastically reduces the huge investment in HR; this is how automating every business operation simultaneously.

8. Surpass collaboration and improve communication

Implementing Odoo ERP for SMEs can bring numerous changes in the collaboration sector. Lack of collaboration and poor communication generated from the employee not having data whenever required. However, Odoo assists in outstripping collaboration when every employee has quick data access throughout all the departments. This is how it facilitates the collaboration process.

Integrating Odoo ERP for SMEs can result in drastic changes as far as communication between various work departments is considered. Poor communication and collaboration offer inaccessibility and unavailability of the data. As no thriving business would want such a mishap, that’s why choosing Odoo ERP for SMEs become highly significant.

9. Availability ease

Deploying an ERP for any company is a cinch if Odoo ERP is used. This software can quickly be downloaded in a jiffy through the internet. Anyone with access to the internet could go for the Odoo ERP’s requirement check and features to fulfil the desired business needs.

10. Seamless connection with other tools

The third-party applications can be linked with the Odoo ERP software because of its quick integration capabilities. It will be significantly advantageous for the SMEs to utilize the committed operational tools that can cater to every aspect of SME’s business operations with particular tools and the management aspects of Odoo with the guidance of third-party applications and tools.


Odoo ERP was launched as a small ERP in 2005, which has paved its way to the leading success journey. In the shortest span of 15 years, Odoo ERP successfully rolled out its Odoo Version 14 in September 2020. Therefore, it’s proven that all businesses can obtain maximum benefits from Odoo ERP implementation.

From lowering work charges to maximizing productivity to advancing business flow, countless benefits of adding this premium business management software are there into your lucrative business. However, with the well-defined operation controls and exclusive operation methodology, the Odoo ERP platform is an authentic business suite for SMEs for effective and reliable business operations management.