INDUSTRY: Retail
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How Process Discovery Identified 22 Automation Opportunities and 22K+ Annual Hours in Savings for a Leading Retail Enterprise
22K+
Annual hours savings identified through automation
20%
Average department optimization
22
Automation opportunities identified
10+
Full-time equivalent savings
Client Overview
A leading retail enterprise was preparing for continued growth across hundreds of stores and multiple formats. Instead of adding headcount to manage rising workloads, the company turned to Process Discovery to identify automation opportunities across Finance, Marketing, People, and Commercial, helping improve efficiency and free teams for higher-value work.
Key Takeaways
- Identified 22 automation opportunities across four key departments
- Uncovered 22K+ annual hours in potential savings
- Achieved 20% average department optimization
- Identified capacity savings equivalent to 10+ full-time employees
- Reduced manual effort and key-person dependency through standardized workflows
- Built a scalable modernization roadmap using RPA, Power Apps, Gen AI, Copilot Agents, IDP, and API integrations
As the retail enterprise continued to expand, growing workloads across Finance, Marketing, People, and Commercial made it harder to scale efficiently without adding headcount. Manual processes, disconnected tools, and fragmented data were creating delays, errors, and operational dependencies.
Accelirate conducted a structured Process Discovery initiative to identify high-value automation opportunities and build a scalable modernization roadmap. The engagement combined RPA, Power Apps, Gen AI, Copilot Agents, IDP, and API integrations to reduce manual effort, standardize workflows, and support continued growth.
Scaling Retail Operations with Process Discovery and Intelligent Automation
As the retail enterprise expanded, manual processes across Finance, Marketing, People, and Commercial made it harder to absorb growing workloads without adding headcount. Disconnected tools, fragmented data, and dependence on key team members were creating bottlenecks, errors, and limited operational visibility.
Accelirate conducted a structured Process Discovery initiative to identify modernization opportunities and design a scalable automation roadmap tailored to each department’s workflows, systems, and business rules.
01 – Structural Process Analysis
Analyzed roles, responsibilities, and workload distribution across Finance, Marketing, People, and Commercial to identify where manual effort and operational inefficiencies were concentrated.
02 - Automation Opportunity Identification
Mapped 22 automation opportunities across the four departments and assessed each one based on ROI, feasibility, and alignment with business priorities.
03 – Modernization Roadmap
Created a structured roadmap combining discovery insights with delivery estimates, timelines, and licensing requirements to help leadership prioritize and sequence automation initiatives.
04 – RPA and Power Apps Automation
Designed RPA and Power Apps solutions for high-volume, rule-based processes while standardizing data intake and reducing repetitive manual work.
05 – Gen AI and Copilot Agents
Applied Gen AI and Copilot Agents to bring together context from multiple data sources, support better decision-making, and generate useful operational insights.
06 – Intelligent Document Processing
Introduced IDP for document-heavy Finance and Commercial workflows to automate data extraction and validation while reducing manual review effort.
07 – Enterprise System Integration
Designed tailored APIs connecting platforms including SAP, BigQuery, Dataiku, and Salesforce to support real-time data exchange and connected workflows across departments.
08 – Scalable Automation Architecture
Designed the automation ecosystem to support increasing store counts and transaction volumes without requiring major infrastructure changes as the business continues to grow.
What Was Unique About the Solution That Was Implemented?
The solution stood out because it went beyond identifying isolated automation opportunities. Accelirate combined structured stakeholder interviews with data-driven process analysis to understand how work was distributed across Finance, Marketing, People, and Commercial, then designed solutions around each department’s specific workflows, business rules, systems, and operational needs.
The key differentiator was the combination of discovery, prioritization, and technology selection. Each of the 22 identified opportunities was evaluated for ROI, feasibility, and strategic value before being mapped to the right mix of RPA, Power Apps, Gen AI, Copilot Agents, IDP, and API integrations. This gave the retailer a practical modernization roadmap designed to reduce manual effort, improve process consistency, and support continued growth without a proportional increase in headcount.
Driving Operational Efficiency and Scalable Growth Through Process Discovery
Accelirate’s Process Discovery initiative helped the retail enterprise identify where automation could deliver the greatest operational impact across Finance, Marketing, People, and Commercial. By targeting repetitive work, fragmented workflows, and process dependencies, the engagement created a clear path to improve capacity and support future growth without proportional headcount increases.
01 - 22K+ Annual Hours in Potential Savings
The identified automation opportunities are expected to recover more than 22,000 hours of manual effort annually across the four departments.
02 - 20% Average Department Optimization
Process modernization and automation created measurable optimization potential across Finance, Marketing, People, and Commercial.
03 - 10+ Full-Time Equivalent Savings
Automation created capacity equivalent to more than 10 full-time employees, helping the organization manage increasing workloads without proportional workforce growth.
04 - 22 Automation Opportunities Identified
The discovery initiative mapped 22 opportunities across four departments, each assessed for ROI, feasibility, and alignment with business priorities.
05 - Reduced Manual Effort and Process Errors
RPA, Power Apps, IDP, and system integrations were designed to automate repetitive activities, standardize inputs, and reduce the risk of human error.
06 - Improved Process Standardization and Visibility
Structured workflows and connected systems created more consistent, auditable processes while improving visibility across operational activities.
07 - Scalable Foundation for Continued Growth
The modernization roadmap was designed to support increasing store counts and transaction volumes, helping the enterprise scale operations without requiring major changes to its automation infrastructure.
Building a Scalable Retail Operation Through Process Discovery
This case demonstrates how structured Process Discovery can help a growing retail enterprise identify operational inefficiencies and uncover high-value modernization opportunities across multiple business functions. By reducing manual effort, standardizing workflows, improving visibility, and addressing process dependencies, the engagement created a stronger foundation for scalable growth without adding unnecessary operational complexity. Through a tailored mix of RPA, Power Apps, Gen AI, Copilot Agents, IDP, and API integrations, Accelirate helped the retailer build a practical modernization roadmap aligned with its systems, business rules, and future growth plans. Looking to reduce manual effort, improve operational efficiency, and build a scalable automation roadmap? Partner with Accelirate to explore how Process Discovery and intelligent automation can transform your operations. Let’s connect today.
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