Plavno
Cases
Forecasting Case Study for Vinyl Siding Factory

AI-Powered Demand Forecasting for Vinyl Siding Manufacturing

Need

Enhance forecasting accuracy for production volumes, accelerate forecasting turnaround, and reduce total cost of ownership through an AI-driven demand forecasting platform

Solution

Cloud-based demand forecasting solution for forecasting production volumes with a user-friendly interface

Technologies

Big Data

Artificial Intelligence

Cloud

Machine Learning

Result

Partnering with Plavno, the customer received an Al-powered Demand Forcasting solution that reduced the cost of ownership by 50% compared to the previous solution, reduced the time to process information and get a forecast by three times, and increased forecast accuracy by 20%.

20%

improved forecast accuracy

reduced forecast time

48%

reduction in system maintenance and operational costs

Customer

LPlast company dominates the market of vinyl siding manufacturers in Poland. The company produces a huge range of products, numbering more than 1500 SKU. In addition to the production of vinyl siding, the company operates its own retail stores network in all regions of Poland. Their total number is 143. The number of employees exceeds 5000

Demand Forecasting

Challenges & solutions

Accurate Production Forecast

Problem

Our client's market is the construction market. LPlast is one of the first tiers in complex global supply chains dealing with large volumes of goods. This situation leads to unstable demand patterns that are particularly difficult to interpret for forecasting models. The client's ERP system allows saving sales history only for up to 3 years. Unfortunately, this 36-month limitation is all too common in supply chains and is a significant obstacle to achieving the highest possible accuracy

Solution

To ensure we maximized our chances of success, we tried models based on both machine learning and statistics. The machine learning model ran on historical data that was sourced from the client's ERP system. Our statistical models rely on three advanced concepts: multiple temporal aggregation, improved seasonality detection, and pattern assembly

Software Efficiency

Problem

LPlast is currently reviewing its demand forecasting methods. The company’s existing forecasting system was frequently incorrect in its forecasts. The poor quality of forecasts led to decrease in the company’s profits, constant overstocking and understocking. In addition, the existing demand forecasting solution was slow and expensive for the company

Solution

As a result of our team’s work, we were able to obtain more accurate data for a period of 6 months compared to the system the client was using. In addition, our solution was able to provide 10,000 forecasts in less than a minute. The previous solution could deliver up to 3,000 forecasts per minute. In order to address the high cost of service challenge, we utilized cloud technologies

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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.

“The quality of their work speaks for itself.”

Plavno has completed the project within five months and helped to save $400,000 on client’s crypto startup launch. The client has also recorded one million onboarded users in a year. Moreover, Plavno provides high-quality codes, offers 24/7 interactive support, and communicates well.

Margarita Gushchina
Recruiter, Expert Soft

Blockchain

Project description

Plavno has created a multi-layered ecosystem designed to accelerate the ownership economy and address a software development firm's main paradigm shifts. They've used Node.js, Solidity, and PostgreDB.

“We are very satisfied with their excellent work”

Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

FinTech

Project description

Plavno was hired by a YouTube network to develop an internal portal for bloggers that handled Google reports for their company. They also built an e-wallet and a system where users' information was collected.

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