Customer Success Stories
DUNA
DUNA is the leader and the only Ukrainian factory with an absolutely full range of hosiery products.
Challenges
Long order picking time: inefficient order picking system led to delays in delivering goods to customers.
High rate of returns: frequent errors in order picking led to the return of goods and additional costs for the company.
Lack of incentive system for employees: there was no motivation system to improve work efficiency.
Outdated accounting system: limited software functionality made it difficult to optimise warehouse processes.
Chaotic storage: lack of organisation in the warehouse made it difficult to find goods and led to errors.
Approaches
Optimisation of the picking process:
Implementation of wave picking: division of orders into waves and further distribution to employees in order to increase work efficiency.
Balanced distribution of tasks: ensure that tasks are distributed evenly among employees to avoid downtime and overload.
Motivation of employees:
Implementation of an incentive system: development of a bonus system for the efficiency and accuracy of employees.
Accounting for every action: WMS system records all employee actions for the objective calculation of bonuses.
Calculation of KPIs: the use of key performance indicators (KPIs) to evaluate the work of employees.
Flexibility and adaptation:
Implementation of the WMS Wareflow: providing flexibility and the ability to change any process to meet the needs of the client.
Analysis and optimisation: detailed analysis of warehouse processes to identify opportunities for optimisation.
Installation of the routing module: automation of the development of optimal routes for the movement of employees around the warehouse.
Additional steps:
Customisation to DUNA's needs: WMS system was customised to suit the specific needs of DUNA.
Module for placing goods from production: efficient placement of goods coming from production.
Solutions
Optimisation of order picking:
Implementation of transport planning: optimal route for employees to move around the warehouse during order picking.
Optimisation of large order picking: development of special algorithms for picking large and complex orders.
Employee motivation:
Implementation of an incentive system: development of a bonus system for the efficiency and accuracy of employees.
Reduced order processing time: thanks to employee motivation, the order processing time was reduced by more than 30%.
Increased warehouse throughput:
Thanks to motivation, employees process orders many times faster.
Automation of routes:
Clear route through the warehouse: WMS system automatically develops the optimal route for employees to move around the warehouse without the involvement of warehouse operators.
Results
Reduced order picking time by 35%: thanks to the optimisation of employee movement routes and the introduction of transport planning.
Increased efficiency of warehouse space utilisation by 17%: thanks to addressable storage and optimised placement of goods.
Increase in equipment and human resource efficiency by 21%: thanks to employee motivation and automation of warehouse processes.
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