PROJECTLocalized Creative Hiring MVP Built in Two Weeks
Sanjh: full-stack marketplace MVP for Pakistan—talent and vendor flows, AI-assisted matching, admin, deployable in ~2 weeks. Structure over bloat, validation over feature creep.
PROJECTData Modernization for a Global FMCG Leader
Transforming forecasting workflows from chaos to clarity
A global FMCG Leader
Transformed chaotic Excel-based forecasting workflows into streamlined, automated systems, reducing processing time from one week to three hours.
Meet our client
Client: A global FMCG Leader
Industry: Consumer Goods, Finance
Market: Pakistan
Solutions: AI Audit
Client's Challenge
The client faced significant challenges with their forecasting processes. Data was fragmented across multiple systems, leading to version conflicts and inconsistent information. Large file sizes caused performance issues and system crashes, while manual processes required extensive time and were prone to errors. The lack of a single source of truth and absence of automation created week-long forecasting cycles with recurring accuracy issues, making scalability and reliable decision-making nearly impossible.
Our Solution
CVision conducted a comprehensive data and process audit to identify systemic inefficiencies. We developed a modernization framework that preserved the team's existing tool familiarity while introducing structured data management principles. The solution involved restructuring data architecture, eliminating redundancies, and integrating visualization tools for real-time reporting. We established automated workflows and provided comprehensive training to ensure sustainable adoption.
Client's Benefits
CVision delivered significant improvements in forecasting efficiency and reliability. The monthly forecasting process was reduced from one week to under three hours, representing a dramatic time savings. Data inconsistencies were eliminated, establishing a single source of truth. The engagement introduced a culture of structured data management and prepared the organization for future automation and AI integration. Decision-making reliability improved across finance teams, enabling faster and more accurate business planning.
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