CHALLENGES
As a result of the slowdown in the construction sector, Dyna & Cía faced high inventory levels with low turnover, affecting its operational and financial efficiency.
SOLUTION
AI-powered sourcing suggestions that allowed for more accurate purchases, adjusting inventories and reducing the risk of overstocking
IMPACT AND BENEFITS
Surplus inventory levels decreased, freeing up key financial resources and optimizing equipment operational efficiency.
More than six decades ago, a company was born with the vision of bringing reliable tools and hardware solutions to every corner of the country. Today, Dyna is a reference in the distribution and marketing of hardware items in Colombia, with a specialized portfolio of more than 106 brands, which ranges from locks and hardware to power tools and industrial safety solutions.
With more than 400 employees and a robust logistics network, Dyna Connect thousands of hardware stores and construction projects. Your commitment to technology and continuous improvement have been key to remain firm in a market that continues to evolve.
The slowdown in the construction sector brought new challenges for Dyna, such as increased inventory with low turnover, which was beginning to commit its working capital.
Although Dyna already had a DDMRP (Demand-Oriented Material Requirements Planning) system, market changes and the need for greater planning precision led the company to look for more advanced and adaptive solutions. Added to this were manual purchasing processes and complex container consolidation, making it even more difficult to respond with agility.
Dyna opted for a rapidly adopted AI-based tool, with the objective of optimize inventories, anticipate demand and make decisions that are more precise, collaborative and aligned with the reality of the market.
In 2024, Dyna implemented DATUP in its supply chain operation primarily because of its solution of supply planning with Artificial Intelligence, and their forecasts in collaboration with key teams.
With DATUP, you are able to optimize inventories in an agile way, taking into account external variables, goals and budgets in a collaborative workflow, and prioritize high-value purchases while optimizing container consolidation.
A year and a half after adopting AI-based technology, Dyna has managed to significantly reduce excess inventory and redirect its resources to strategic initiatives: purging the portfolio to focus on products with greater turnover and value, and strengthening its distribution network.
This breakthrough reaffirmed the company's commitment to offer competitive pricing, quality and availability, even in challenging economic environments.
Because anticipating demand isn't just a matter of data: it's understanding what the country needs, and being ready to deliver it.