Technology Category
- Analytics & Modeling - Robotic Process Automation (RPA)
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- Food & Beverage
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Autonomous Robots
- Inventory Management
Services
- System Integration
About The Customer
Amber Beverage Group (ABG) is a leading international producer, distributor, exporter, and retailer of beverages. Based in Luxembourg, ABG works with subsidiaries in Russia, the UK, Mexico, Australia, and the Baltic states. The company works with over 600 brands, including more than 130 of its own such as Rooster Rojo Tequila®, Riga Black Balsam®, Cross Keys Gin®, Cosmopolitan Diva®, and Moskovskaya Vodka®. ABG’s personnel is highly skilled, with specialized beverage industry knowledge, making it especially important to make the most of every employee’s valuable time.
The Challenge
Amber Beverage Group (ABG), a rapidly growing international producer, distributor, exporter, and retailer of beverages, was facing challenges in streamlining work processes for its team of over 2,100 employees. Despite using a comprehensive ERP system, the company found that frequent, cumbersome, manual tasks were still preventing workers from reaching their full potential. For instance, each time an employee created a purchase order within the ERP system, the system would immediately email the employees who were responsible for approving it. This process would frequently disrupt many team members in the office throughout a typical workday, while those traveling abroad would need to open their computers and access a VPN in order to approve a purchase order. The company’s ERP system is divided into 12 different databases due to the variety of languages and regions in which it operates, adding to the complexity of the situation.
The Solution
To address these challenges, ABG chose Nintex’s RPA solutions. With the assistance of Nintex’s professional services team, ABG automated 10 key processes in just three and a half months, allowing its employees to focus on more creative and strategic projects and enjoy a dramatic drop in disruptions. The first of these automated processes, which took less than one month to implement, streamlined the way managers approve purchase orders. This process involved tasks performed by five different robots, including prompting managers to approve the purchase order, updating the ERP system, emailing the order’s creator, reminding the approvers, and checking for failed processes. The solution was implemented quickly and worked smoothly and efficiently with each of the company’s 12 different ERP databases.
Operational Impact
Quantitative Benefit
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