INDUSTRY: Retail
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How Accelirate Helps a Leading Chilean Retailer Recover 17K+ Hours and Identify 22 Automation Opportunities Through Process Discovery
17K+
annual hours recovered
45%+
average department optimization
22
automation opportunities identified
8+
full-time equivalent savings
Client Overview
The client is one of Chile’s leading retail companies and part of a major international retail group, operating hundreds of hypermarkets, supermarkets, and wholesale stores nationwide. Its Digital team manages search ranking, category management, product content, marketplace operations, editorial publishing, and reporting across multiple platforms.
Key Takeaways
- Identified 22 automation opportunities across Digital operations
- Recovered more than 17K working hours annually
- Achieved over 45% average department optimization
- Delivered capacity equal to more than eight full-time employees
- Reduced key-person dependency through standardized automation logic
- Built a scalable roadmap using RPA, AI, and Data Science
As the client’s Digital operations expanded across search, content, marketplace, and reporting, increasing process volumes began to expose limitations in scalability, consistency, and operational visibility. Manual decision-making, fragmented workflows, and heavy dependence on specific team members made it difficult to maintain speed and accuracy without increasing headcount.
Accelirate partnered with the retailer to conduct a structured Process Discovery initiative and identify high-value modernization opportunities. The engagement combined RPA, AI, Data Science, Copilot Agents, and analytics integrations to standardize workflows, reduce manual effort, and create a scalable roadmap for supporting future growth.
Scaling Digital Operations Through Process Discovery and Intelligent Automation
As the retailer expanded, its Digital team faced increasing workloads across search, product content, marketplace operations, category management, editorial publishing, and reporting. Fragmented workflows, inconsistent business rules, limited operational visibility, and dependence on specific subject matter experts made it difficult to maintain speed and accuracy at scale. Growing ticket volumes and data validation requirements also placed greater pressure on the team, creating a need to increase capacity without adding proportional headcount.
Accelirate conducted a structured Process Discovery initiative to assess workflows, identify modernization opportunities, and build a prioritized automation roadmap. The engagement identified 22 automation opportunities with the potential to recover more than 17K hours annually, deliver over 45% average department optimization, and provide capacity equivalent to more than eight full-time employees.
FlowAgent for MuleSoft Key Pointers:
01 – Structural Dashboard
Analyzed roles, responsibilities, workload distribution, and areas of concentrated manual effort.
02 - Opportunity Dashboard
Mapped automation and process optimization opportunities by ROI, feasibility, and business priority.
03 – Modernization Roadmap
Defined delivery timelines, effort estimates, licensing requirements, and implementation priorities.
04 – Process Definition Documents
Documented current workflows, business rules, exceptions, and technical requirements for delivery.
05 – RPA-Based Automation
Automated repetitive workflows across Jira, BigQuery, Seller Center, Salesforce, and other platforms.
06 – AI and Data Science Solutions
Applied contextual analysis to search ranking, category ordering, and product recommendation processes.
07 – Copilot Agent Implementation
Enabled adaptive ticket management and editorial workflows that required more than fixed business rules.
08 – Reporting and Analytics Integration
Connected Power BI and Dataiku workflows to reduce manual consolidation and improve operational visibility.
What Was Unique About the Solution That Was Implemented?
The solution stood out by combining Process Discovery with RPA, AI, Data Science, Copilot Agents, and analytics integrations instead of applying the same automation approach to every workflow. Based on process complexity, Accelirate introduced:
- RPA for high-volume, rule-based workflows across multiple platforms
- AI and Data Science for search ranking, category ordering, and product suggestions
- Copilot Agents for adaptive ticket management and editorial workflows
- Standardized business logic across first-party and third-party processes
- Power BI and Dataiku integrations for improved reporting and data visibility
- Scalable automation designed to support higher volumes without added headcount
Turning Complex Digital Retail Workflows into a Scalable Automation Roadmap
Through Accelirate’s Process Discovery initiative, the client gained a structured roadmap for modernizing fragmented workflows across search, content, marketplace, and reporting operations. The engagement identified opportunities to recover thousands of working hours, standardize business rules, reduce operational dependency, and support growing workloads without proportional headcount increases.
Key outcomes included:
01 - Annual Hours Recovered
Identified more than 17K hours in potential annual capacity savings across Digital operations.
02 - Department Optimization
Achieved an average optimization potential of over 45% across the assessed department.
03 - Automation Opportunities Identified
Identification of 22 opportunities across automation, process optimization, and workflow re-engineering.
04 - Full-Time Equivalent Savings
Created potential capacity savings equivalent to more than eight full-time employees.
05 - Standardized and Scalable Operations
Established a roadmap to standardize workflows, reduce errors, and minimize key-person dependency.
Building a Scalable Automation Strategy for Long-Term Retail Growth
This success story highlights how Accelirate’s Process Discovery initiative helped the client identify high-value automation opportunities, recover operational capacity, and create a structured modernization roadmap for its Digital operations.
By standardizing business rules, reducing manual effort, and applying RPA, AI, Data Science, and Copilot Agents across critical workflows, the company is better positioned to manage growing process volumes without proportional headcount increases. If your organization is facing similar scalability and efficiency challenges, Accelirate can help you build an intelligent automation roadmap that supports sustainable growth.
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