Case Studies

Yogabar Reduces Order Processing Time by 90%

Yogabar, one of India's fastest-growing healthy snacking brands, manages hundreds of SKUs across quick commerce (Blinkit, Instamart, Zepto), e-commerce (Amazon, Flipkart), and modern trade (More Retail, RIL) — requiring error-free, rapid order processing to meet demanding fulfillment timelines.
Amazon, Flipkart, Blinkit, Zepto, Swiggy Instamart, BigBasket, Reliance, More Retail, Bizeebuy
Book Demo
90%
Processing Time Reduction
8+
Channels Automated
100%
Error Detection Rate
100%
Order Validation Coverage

About the customer:

One of India's fastest-growing healthy snacking brands offering a wide range of nutritious products including protein bars, breakfast cereals, muesli, and snacks. With a strong presence across modern trade, e-commerce, and quick commerce channels operating at over 50M USD, Yogabar serves millions of health-conscious consumers through partnerships with Blinkit, Zepto, Instamart, Bigbasket, Amazon, Flipkart, More Retail, and RIL — managing hundreds of SKUs.

The Challenge

Managing purchase orders across quick commerce, e-commerce, and modern trade channels created critical operational bottlenecks and fulfillment risks:
Error-Prone Manual PO Processing
Purchase orders from Blinkit, Instamart, Zepto, Amazon, Flipkart, More Retail, and RIL required manual validation for pricing errors, active/inactive SKUs, MRP discrepancies, and GST calculations before entering into Bizeebuy ERP — causing 3-4 hour processing delays
Minimal Pre-Fulfillment Error Detection
Issues with pricing, SKU status, MRP, or GST were discovered only after orders were punched into the ERP, leading to fulfillment delays, order cancellations, and strained channel relationships
Inventory Blind Spots
Without real-time connection between POs and inventory management systems, overstocking and understocking situations went undetected until after orders were confirmed — resulting in capital lock-up or stockouts based on channel priorities

Datavio Solution

Datavio workflows were used to build an intelligent order processing engine that auto-punches validated POs into Bizeebuy ERP while performing real-time error detection and inventory threshold monitoring across all channels with real-time human inputs to resolve bottlenecks

Intelligent PO Validation & Auto-Punching

Automated extraction and validation of POs from quick commerce, e-commerce, and modern trade channels — checking pricing accuracy, active/inactive SKU status, MRP compliance, and GST calculations before auto-punching into Bizeebuy ERP

Pre-Fulfillment Error Flagging

Smart alert system that identifies and flags errors (pricing mismatches, inactive SKUs, MRP discrepancies, GST issues) before orders enter the ERP — enabling immediate resolution and preventing downstream fulfillment failures

IMS-Connected Inventory Intelligence

Real-time integration with inventory management system to monitor stock levels against incoming POs — automatically flagging overstocking or understocking risks based on channel-specific priorities (quick commerce vs modern trade)

Multi-Channel Exception Management

Channel-specific business rules and priority-based alerts ensure critical orders (especially quick commerce requiring same-day fulfillment) are processed first while inventory allocation is optimized across all channels

PO processing took 3-4 hours of manual validation daily. Errors were found too late. Datavio's automation engine cut that to less than 30 minutes, catches issues before they hit our ERP, and flags inventory risks automatically. Its been transformative for our operations

Sanchit Jain
Head of Automation & Operations Excellence

Conclusion:

Datavio transformed Yogabar's order processing from 3-4 hours to under 30 minutes daily while eliminating errors and preventing inventory issues through intelligent automation and IMS integration. Battling slow order processing, fulfillment errors, or inventory challenges across channels? Book a demo to discover how Datavio can accelerate your operations and help you meet demanding channel requirements.