AI-led Transformation for a North American Multinational Retail Chain
Overview
The Client is the largest department store chain in the US with a revenue of more than US $20bn. It is a destination for the best brands and the most sought-after retail products. The retail chain operates with 1,100+ stores in about 48+ states across the US.
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Challenges
The Client approached us with the following challenges
Automation & data Syncing for 10,000+ servers in 1,100+ stores spread across more than 48 states
Identifying the server failures owing to huge volumetric data & complexity due to manual client systems
Irregularities in Monitoring Dashboard due to Incident alerts in the ticketing tool manually
Lack of resources and cost efficiencies in identifying the root cause of server failures manually
Solutions
Understanding the clients’ business challenges, ACL provided a solution that leveraged open source automation and AI capabilities:
- Jenkins was identified as the best suited automation server. This was further enhanced by ACL through bot creation which provided proactive monitoring of multiple systems & servers
- Built Bots To monitor the alerts and send specific alerts to indicate threshold levels of incident tickets via Webex’s instant communicator
- Alert Monitoring System Enhanced ServiceNow (ticketing tool) by building, integrating & automating alert monitoring system leveraging AI bots
- Automated Advice AI assisted monitoring which provides automated advice and suggests mitigations to the developers’ on highlighted alerts and incidents
Outcomes
- The AI (Artificial Intelligence) assisted monitoring transformation brings value to our Client’s business by decreasing the associated costs and increasing efficiency and productivity.
