AJE, formerly known as Ajegroup, is a multinational company dedicated to the manufacture, distribution and sale of alcoholic and nonalcoholic beverages. The company was started by the Añaños Family in Ayacucho, Peru and now is headquartered in Lima, Peru and in Madrid, Spain. It is known for its flagship products Kola Real and Big Cola.
As a company in constant expansion, AJE Group looks to add value in the process of business growth at every step (or sip). For this, it needed an increase in productivity through solid platforms that support new methodologies and volumes of work. CloudHesive became a strategic ally, as an AWS partner, putting its team of expert architects at the service of these challenges. The definition of technological infrastructure was one of the crucial contributions of the strategy.
Many companies have digital transformation strategies underway but they need specific solutions that accelerate their processes and ensure scalability. CloudHesive is the collaborating agent of change that accelerated the growth of AJE Group, a leading beverage firm with a presence in more than 20 countries and 4 continents. We know how to do it and share it through our success story.
According to Sandra Woolcott, Global Manager of Digital Transformation of the AJE group: “We chose AWS because of the ability to have a business partner (CloudHesive) with proven expertise, global reach and level of availability in cloud services, in addition to the value of their experienced teams that provide personalized accompaniment.”
CloudHesive made it easier for Grupo AJE to incorporate solutions such as:
- Amazon Elastic Compute Cloud (Amazon EC2)
- AWS Lambda
- AD Connector
- AWS VPN
Among other achievements, the reduction of 10% in the execution times of analytical models and a saving of 30% in infrastructure costs.
The next steps, together with CloudHesive, consist of the migration of business infrastructure, the incorporation of big data and artificial intelligence services and efforts focused on doubling the reduction of time in processes.