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Honestly, here are the Reasons that Stop
You From Achieving Your Goals!
Testing only at the feature level
Reasons this maybe a bad idea:
Building test cases for existing & new features only will result in very less test coverage, missing out on essential functional defects of the system on a broader level.
Regression testing bottlenecks
Regression testing, however, would be best if you had the
tech expertise to build and prioritize test cases for test
execution and, to get accurate results from the test.
Reasons this maybe a bad idea:
Automated regression testing, when done in-house
with limited domain expertise, will lead to
compromising functionality defects at a very later
stage where it’s too cumbersome to fix.
Here’s how you can Fix Your Problems
with Zuci’s Functionality Testing Service
We have served our clients over the years to help them deliver
quality software of all type, including:
Enterprise web applications
Mobile applications
Web applications
Desktop application
Functional Test Craftsmanship
Upon requirement gathering, Zuci’s test engineers will define the scope of functional testing, test environment, test tools, and identify the number of test cases needed to test the functionalities of your software.
Manual & Automated Functional Tests
We take complete responsibility of the end-to-end manual and automated testing activities right from the test plan through the production.
Manual testing – develop test cases for each functionality and carry out a combination of hundreds of tests to ensure stability and working of the software
Automated testing – create automation test scripts for regression testing to ensure the newly incorporated changes or features doesn’t affect the previously working functionality of the software.
Collaborative Agile Test Process
As quality ambassadors, we approach testing with an agile mindset and ensure complete traceability of the testing activities in tandem with your team. You will stay in the know of the testing progress and defects at regular intervals through test reports.
Improved Quality
We analyze test reports and offer recommendations to intensify software quality in accordance with your business requirements.
FarmERP Builds an AI-driven Attendance System Using Face Recognition Technology for a Vegetable Growing Company
Introduction
A vegetable growing company produces vegetables and fruits of the highest quality standards using tech-driven advanced farming methods. Having farms across multiple locations, this agribusiness has to manage a large number of labourers on a daily basis. FarmERP partnered with and helped the agribusiness ensure the efficient and accurate attendance of labourers on all farm sites.
Challenge
- Monitoring the attendance of over 4000 farm labourers across 25 locations was challenging for the vegetable growing company.
- Without a proper automated system in place, manual errors in attendance were very common.
- Manual attendance also led to manipulations in the attendance recordings of labourers.
- As a result of the errors and manipulations, wages of the labourers were not being calculated accurately.
Approach
FarmERP team visited all the farm locations to dive deeper and get a better understanding of the problems that the vegetable growing company was facing. Based on all the assessments, FarmERP came up with an efficient and accurate face recognition-based labour attendance system and helped the vegetable growing company in the following ways:
- Built an AI-based face recognition model for labour attendance which can be accessed through the FarmERP mobile app using a smartphone.
- Ensured automatic attendance of more than 1000 labourers on a daily basis.
- Enabled supervisors at respective sites to mark the check-in and check-out of every labourer using the FarmERP mobile application.
- Attendance reports are generated every day at all the farm locations.
- Accurate wage calculation of every labourer based on his / her attendance report.
Benefits
With the state-of-the-art AI-based attendance system that uses face recognition technology, the vegetable growing company witnessed tremendous improvement in its attendance monitoring. As a result of this excellent solution, the enterprise started managing the attendance of its thousands of labourers more efficiently.
- It became possible for the vegetable growing company to automatically carry out the labour attendance of 1000+ workers everyday across various sites.
- With automated attendance, the possibility of errors and manipulation has reduced drastically and made the overall process more transparent.
- Agribusiness got command over end-to-end labour management with the help of real-time and system-generated data.
- FarmERP made labour wage calculations more accurate with the help of a face recognition-based attendance system that reduced manual interference and eliminated manipulations in the attendance process.