Plavno

They tackled the big task of managing our large variety of ingredients and recipes. Plavno set up a system to keep track of all our ingredients, predict how much of each we'd need, and order more before we ran out. This was really important to us because it meant we could avoid waste and always have what our customers wanted.

Another big issue for us was making sure we could serve customers with different diets and allergies. Plavno made it easy for customers to find meals that fit their needs by filtering out ingredients they couldn't or didn't want to eat.

The website they built let customers sign up, pick their meals, decide how many they needed, and set up a delivery schedule that worked for them. It also processed payments smoothly and offered helpful customer support.

Plavno provided comprehensive services throughout the software development life cycle. They conducted a thorough analysis of our requirements and designed the solution. The team developed personalized product recommendation algorithms, implementing AI-driven inventory management, and automating order processing. Key deliverables included:
admin panel powered by PlavnoNova
personalized recommendation features
robust inventory and order management system.

PlavnoNova already had several essential modules that were ready to use such as customizable dashboard, product creation, payments processing, even team management tools. The platform is AI-driven, so it can be customized through the AI chat using natural language. This solution appeared to be convenient and less resource-intensive.

We turned to Plavno to develop an app from scratch. We needed both back-end and front-end engineers as well as designers.
When we agreed on estimation we started with mockups and design, which looks very nice. We were also offered the option to use their pre-built customizable platform, PlavnoNova, for developing an admin panel.

What I found interesting is that this admin panel can be managed through AI chatbot, which appeared to be very comfortable. Content managers use this chatbot to add products and prices, generate reports - it can cover a huge number of functionality. We just write a prompt, and AI completes the task based on our database. We have never used such features before and it managed to perform well. Actually it already had several crucial modules. The back-end engineers just had to customize it a little. This saved us a lot of time and money to be honest.
And one more feature that was helpful is creating personalized recommendations.

The development process for our ecommerce platform with Plavno follows a structured path. It began with project initiation, Where objectives and requirements were defined. The planning and phase included creating project plans, timelines, and design mockups. Development encompasses coding core features, integrating stripe for payments, and ongoing testing. Iterative development ensured feedback was addressed promptly

We were looking to implement a new service means so we decided to go into transportation service, so as an IT consulting company we aim to provide excellent and easily accessible transport service to out customers.
Plavno developed a comprehensive booking system for our Transport chain, allowing customers to make bookings online. They designed a user-friendly system with real-time availability, integrated payment processing, and booking confirmation emails. They also provided a user admin panel for our staff to manage bookings and monitor occupancy.

Our project aimed to develop a cutting-edge mobile app for our business, designed to enhance user engagement, streamline processes, and ultimately boost our revenue. We were seeking a robust and user-friendly mobile app solution.

Plavno's job was to build online shop website using WordPress, make it look nice, set up a way to sell our products online, to showcase to our patient and help more people find our website on Google. The main things they gave us were the new website, a fully equipped online store, and better search engine results. Now they provide us with maintenance.

The scope of work for this project encompassed the development of a SaaS platform aimed at automating social media marketing efforts.

Key deliverables included the creation of features such as content scheduling, automated posting, advanced analytics, and the integration of ChatGPT technology for natural language interactions.

Additionally, the scope involved the development of a user-friendly interface, step-by-step tutorials, and interactive simulations to ensure user adoption and proficiency.

The project also focused on refining ChatGPT's responses through an adaptive feedback loop to enhance accuracy and relevance.

The scope of work for this project encompassed the development of a SaaS platform aimed at automating social media marketing efforts.

Key deliverables included the creation of features such as content scheduling, automated posting, advanced analytics, and the integration of ChatGPT technology for natural language interactions.

Additionally, the scope involved the development of a user-friendly interface, step-by-step tutorials, and interactive simulations to ensure user adoption and proficiency.

The project also focused on refining ChatGPT's responses through an adaptive feedback loop to enhance accuracy and relevance.

The scope of work for this project encompassed the development of a SaaS platform aimed at automating social media marketing efforts.

Key deliverables included the creation of features such as content scheduling, automated posting, advanced analytics, and the integration of ChatGPT technology for natural language interactions.

Additionally, the scope involved the development of a user-friendly interface, step-by-step tutorials, and interactive simulations to ensure user adoption and proficiency.

The project also focused on refining ChatGPT's responses through an adaptive feedback loop to enhance accuracy and relevance.

The scope of work included:

Integrating ChatGPT functionality to serve as a conversational chatbot
Training ChatGPT on a real estate-specific dataset
Developing a user-friendly property search interface
Implementing appointment scheduling features for property viewings

We hired Plavno with the goal of developing an energy efficiency app that integrates seamlessly with smart home devices and employs machine learning.

The scope of work included developing a user-friendly app that connects with various smart home devices using MQTT. It also involved real-time energy consumption data collection, implementing machine learning algorithms for energy optimization, creating an interactive dashboard for data visualization, and providing educational resources to encourage behavior changes.

The scope of work was the following:
- automate maintenance tasks based on vehicle usage and predefined intervals.
- managing driver information, work schedules, and compliance.
- storing important documents related to vehicles and projects.
- better coordination and stock management in freight projects.
- seamless Integration with our accounting software for easy financial data transfer.

The scope of our work as a joint team included the development of an interface, veterinary advice section, connection with local pet services, and personalized recommendations. React Native was used for front-end development, Node.js for back-end development, and MongoDB for data storage. Plavno started with designing the wireframe of the app's interface, followed by developing various features, such as the product catalog, veterinary advice section, and local services directory. Their team also implemented a recommendation engine that takes into account the user's pet's breed and age, providing personalized product recommendations. I used to work closely with Plavno team during the QA testing phase. Our QA team followed a testing process that involved both manual and automated testing. The manual testers used a range of techniques, such as exploratory testing, regression testing, and usability testing, to identify and report any issues. In addition to manual testing, we also used automated testing. We used a combination of tools and frameworks, such as Jest, Enzyme, and Appium, to automate the testing process. We also used CI/CD practices to streamline the testing process.

The app combines a gig work history from all the apps in one place. The data includes earnings and tips information, weather alerts and so on. The app displays all the information and creates graphs of earnings, the split between tips and profits, and only service fees. The MVP should have included such functionality as user registration and profile, integration with gig apps, data aggregation, earnings tracking, notifications. Plavno developers helped us to build an excellent MVP solution with all the basic functionality required. The app was delivered on time without any serious issues during the development process. Moreover, negotiations are underway to continue working on the development of a full-fledged application.