Project Title: AI-Driven Commercial Revenue Assurance & Logistics Leakage Audit

Category: Financial Analysis / Operations Management

The Challenge: In high-volume distribution setups, reconciling thousands of physical delivery receipts against Sales Force Automation (SFA) records manually leaves a massive window for “leakage”—unaccounted SKU variances, unauthorized route deviations, or uncollected merchant balances that quietly drain profitability.

My Role & Leadership: Spearheaded a rigorous cross-functional commercial audit. I took full accountability for leading territory supervisors through a comprehensive data-reconciliation cycle, ensuring deep operational transparency across the distribution network.

How AI Was Used: I engineered a multi-step AI workflow to ingest disparate regional sales summaries, fuel logs, and route-compliance records. The AI model was trained to instantly spot outliers, match physical warehouse dispatch logs against digital retail drop-offs, and flag exact geographical zones where distribution inefficiencies or inventory shrink were occurring.

The Result: Uncovered and plugged critical data gaps across eight months of historical logistics records. The project successfully reclaimed thousands of dollars in operational blind spots, protected regional growth metrics, and established an ironclad baseline for future corporate compliance defenses.

Project Title: Scaling Sales Team Efficiency via Automated AI Reporting

Category: Process Automation / Team Leadership

The Challenge: Sales teams lose hours of valuable field time manually compiling daily activity reports, leading to delayed territory intelligence and dropped KPIs.

My Role & Leadership: Managed the transition of a regional sales unit toward automated reporting. I designed the reporting templates, mentored field agents on data input discipline, and oversaw the change management process.

How AI Was Used: Developed an AI-powered pipeline that accepts raw text summaries and basic data tables submitted by field operators. The AI processes these inputs, structures them into clean corporate updates, and flags immediate distribution bottlenecks or SKU shortages automatically.

The Result: Eliminated friction between field teams and management, cut down reporting overhead for the sales unit, and allowed real-time tracking of West Addis business KPIs.

Project Title: Building an AI-Driven Route-to-Market (RTM) Planning Framework

Category: Sales Operations / AI Automation

The Challenge: Traditional daily route planning for high-volume SKUs across vast territories often suffers from human error, delayed Sales Force Automation (SFA) syncing, and logistical bottlenecks that hurt regional growth metrics.

My Role & Leadership: Led the strategic design of an automated framework, coordinating data formatting requirements across territory teams to ensure full operational compliance.

How AI Was Used: I built custom LLM prompting frameworks to ingest raw, unorganized field data and regional sales summaries. The AI was prompted to instantly clean formatting discrepancies, cross-reference territory performance metrics, and generate optimal daily SKU route allocations.

The Result: Reduced manual data processing time for daily route plans by over 60%, drastically minimizing human error and allowing territory teams to focus purely on execution rather than data troubleshooting.