Plavno
Cases
Forecasting Case Study for Farma Kasik

AI-Powered Demand Forecasting for Agricultural Supply Chain Optimization

Need

AI-driven long-term demand forecasting solution to optimize agricultural production planning, cold storage use, and inventory accuracy across retail points.

Solution

AI-powered demand forecasting platform that integrates sales data, external factors (seasonality, weather, price volatility), and predictive analytics to deliver actionable insights and inventory planning

Technologies

Big Data

Artificial Intelligence

Cloud

Machine Learning

Result

Partnering with Plavno, Farma Kasik received an AI-powered Demand Forecasting solution that is able to forecast long-term product demand with 83% accuracy, has helped reduce cold storage cost by five times and, with 64% accuracy, predicts inventory utilization rate for each POS

83%

accuracy of long-term demand forecasting

reduction in cold storage cost through optimized inventory planning

64%

predictive accuracy in inventory utilization per point of sale (POS)

Customer

Farma Kasik is a large family-owned vegetable production, supply and processing company from Czech Republic that prioritizes quality customer service and delivers the highest quality products in an increasingly competitive and unstable market. Farma Kasik owns over 400 hectares of farmland and ships over 10 million boxes of vegetables annually to 320 retail stores nationwide. Farma Kasik produces only organic produce without the use of pesticides, insecticides or chemical fertilizers

Demand Forecasting

Challenges & solutions

Process optimization

Problem

Organic products are traditionally more expensive than products from large agro complexes that use chemical fertilizers to maximize yields. Recently, the ability of the Czech people to pay has decreased. People have started to buy cheaper products. This has affected the profits of Farma Kasik. In addition, there is a shortage of qualified employees for the agricultural sector on the market

Solution

We developed a solution that automatically analyzes data from various sources and provides analytical data and recommendations on such key indicators as sales frequency, sales volume, current selling price and competitor prices, revenue per sale, customer return rate, and margin per product. Plavno conducted a detailed analysis of current and historical data for more than 50 products and 490 product groups. Sales volume and revenue were analyzed by product, product group and customer, taking into account external influencing factors for detailed demand forecasting analysis

Supply Optimization

Problem

The company wanted to prioritize distribution and order fulfillment to maintain profits in the face of declining demand. Storage of perishable products is an expensive process. Storage facilities must be equipped with refrigeration units. And even with such storage, many vegetables spoil. For this reason, Farma Kasik wanted to move from warehousing to producing precise quantities of vegetables to order

Solution

With our solution, Farma Kasik is able to optimize supply chains and reduce inventory. With our solution, the accuracy of long-term forecasting reached 83%. The accuracy of predicting optimal inventory utilization rate for each POS reached 64%. The accuracy of predicting optimal delivery times, workflows, and fulfillment routes reached 72%. In addition, cold storage cost reduced by 5 times

Demand Forecasting

Problem

Farming is a long, labor intensive and seasonal business. In addition, farmers are limited in terms of planting space. Therefore, Farma Kasik wanted to understand which vegetables should be planted at what time and in what quantities to maximize profits

Solution

In order to improve the accuracy of demand forecasting, we trained the system to take into account risk factors. In agriculture, risk factors include seasonality, vegetable shelf life, unstable food prices, weather, logistical risks, competitor activity, and rapidly changing taste preferences of the audience. As a result, Farma Kasik received a functional demand forecasting software, which allow to obtain real-time data on demand volumes, build long-term forecasts and make recommendations on the volumes and types of vegetables that should be planted to maximize profits

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process

Crystal clear process

Agile methodology forms the cornerstone of our work philosophy. Through a seamless blend of innovative practices, including regular demos, comprehensive progress tracking, and a unique pay structure based on hours invested, we've constructed a workflow that ensures optimal outcomes and client satisfaction.

discovery

design

development

Testing

Launch

Maintenance

Conduct market research

UX Research

Components

Perform integration testing

Address issues in staging environment

Audience analysis

Moodboards

Develop UI components

Test personalized algorithms

Monitor customer satisfaction

Identify key features

Prototyping

API integrations

Deploy to production

Gather user feedback

Define project scope

UI Design

Implement custom features

Address and fix bugs

Updates and improvements

project team

Launch, accelerate and support your business with our teams

Alexander

Backend

Expertise

Senior Backend Developer with an experience in Drupal and Shopify. Successfully delivered 10+ projects.

PHP

Drupal

Laravel

Express

Docker

Shopify

Michael

Mobile

Expertise

Mobile Developer with 4+ years of experience in React Native and Flutter apps development.

TypeScript

GraphQL

Node.js

Docker

Anastasia

UX/UI Designer

Expertise

UX/UI designer leveraging 6 years of expertise to bridge the gap between user needs and satisfy customers.

Web/Mobile

UX Audit

Prototyping

Graphic

Testimonials

“They really understand what we need. They’re very professional.”

The 3D configurator has received positive feedback from customers. Moreover, it has generated 30% more business and increased leads significantly, giving the client confidence for the future. Overall, Plavno has led the project seamlessly. Customers can expect a responsible, well-organized partner.

Sergio Artimenia
Commercial Director, RNDpoint

FinTech

Project description

Plavno has developed a web application for a product development company. They’ve built a 3D configurator that allows clients to design a unique final product by choosing colors, materials, and other options.

“They developed a product that met all of the requirements.”

The product Plavno developed was successful; the end client gave positive feedback about its ease of use and effectiveness. Plavno was responsive and provided regular updates throughout. Their collaborative approach and use of ChatGPT stood out.

Marina Mendeleva
Founder & CEO, Tri Foundation

SaaS

Project description

Plavno provided staff augmentation for an IT recruitment company's end client. They built a SaaS cybersecurity product using Python, Java, and Node.js for development and ChatGPT to improve security features.

“Their technical expertise is really impressive.”

Plavno developed a platform that exceeded our needs within the agreed-upon time frame. Their development efforts were great. The knowledgeable team communicated clearly and provided regular progress updates.

EdTech

Project description

Plavno developed a digital university admissions platform for a web development company. They designed the UX/UI for three user groups, and built the platform using React.js, Python, C# and other tool.

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