Case Study · Food Chain
FlaxitUp Cuts Stockout Risks by 35% with Automation
How FlaxitUp streamlined operations and reduced forecasting errors through automation, APIs, and real-time dashboards.
Reduction in Manual Work
Decrease in Stockout Risks
Improvement in Forecast Accuracy
Background
FlaxitUp, a growing food chain with 10 outlets across Mumbai, faced mounting operational complexity. Their website (flaxitup.com) served as a key hub for customer interactions, but data fragmentation and manual processes created bottlenecks.
Challenges
Fragmented Data Sources
Manual entries and third-party apps caused inefficiencies and inconsistencies.
Forecasting Errors
Unit discrepancies led to errors up to 28% in stock predictions.
Stockout Risks
Manual processes increased stockout risks by 35%.
Missed Alerts
Lack of real-time notifications led to operational delays and inefficiencies.
Performance Tracking Issues
Inconsistent branch metrics created disputes in incentive systems.
Our Approach
Automated Data Integration
Integrated Petpooja, Swiggy, Zomato, and FamePilot APIs for unified tracking, with Google Forms + App Script automation feeding BigQuery.
Advanced Forecasting
Custom algorithm predicted requirements for 150+ items with 90% accuracy and reconciled units via conversion matrix.
Real-Time Alerts
Google Chat notifications for form deadlines, emergency orders, procurement, and performance summaries.
Performance Scoring
Automated incentive system with real-time notifications for transparency and motivation.
Unified Dashboards
Looker Studio dashboards unified stock, sales, and customer feedback into a single view.
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Results
Reduction in Manual Work
Decrease in Stockout Risks
Improvement in Forecast Accuracy
Alerts & Dashboards
FlaxitUp's automation journey improved accuracy, reduced stockout risks, and empowered data-driven decisions with real-time dashboards and alerts.
"AnalyticsLiv's automation-first approach helped us cut stockout risks, reduce manual effort, and make smarter operational decisions with real-time insights."
— FlaxitUp
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