Unified Operational Visibility ThroughCentralised Control
For Pluckk (SAFresh Technology Pvt Ltd), India
How we reduced Pluckk's administrative overhead by 50% through unified WMS orchestration.
As Pluckk scaled to handle 500+ daily orders across multiple Indian metros, the complexity of coordinating pickers, drivers, and inventory threatened to stall growth. This case study details the implementation of a centralised Warehouse Management System (WMS) that replaced fragmented manual processes with real-time visibility and automated workflows. By building a "single source of truth," we enabled Pluckk to manage 3x their current volume with enhanced predictability and significant cost savings.
The Quick Read
Overview & Background
Pluckk (SAFresh Technology Pvt Ltd) is a high-growth farm-to-fork platform delivering safe and clean produce across Mumbai, Delhi, Bengaluru, and Pune. Managing a high-velocity supply chain with 1000+ partner farms requires absolute precision. Pluckk partnered with us to build a custom WMS that could act as the "brain" of their operations, unifying disparate apps and manual logs into a single, high-performance digital backbone.
The Challenges
Operations were suffering from "information fragmentation." Picking status, delivery tracking, and inventory levels were stored in different places, requiring managers to spend hours on manual coordination and WhatsApp follow-ups. This lack of predictability made it difficult to forecast workload, manage exceptions, or commit to delivery windows with confidence.
The Solution
We implemented a centralised WMS featuring a real-time Manager Dashboard, an automated Workflow Engine, and sophisticated Exception Management. The system orchestrates all operations around a "route-first" logic, automatically assigning tasks to pickers and drivers while providing managers with a live view of every order's journey from procurement to final delivery.
The Impact
The WMS has transformed Pluckk's operational culture from reactive to proactive. Administrative workload has been slashed by up to 50%, and managers now make data-driven decisions based on live performance metrics. Most importantly, the system provides a reliable blueprint for scaling to 3,000+ orders per day, ensuring Pluckk remains at the forefront of the Indian food-tech industry.
The Full Story
Pluckk, operating under SAFresh Technology Pvt Ltd, is an India-based farm-to-fork fresh produce food-tech platform (D2C and B2B) headquartered in Mumbai. Pluckk has rapidly expanded its market presence across major Indian cities including Mumbai, Delhi, Bengaluru, and Pune. The company focuses on delivering safe, fresh, and clean fruits and vegetables, distinguished by its commitment to traceability, ozone-washing for hygiene, and a "farm to door in 24 hours" promise. As of FY24, Pluckk has achieved an Annualized Revenue Run Rate (ARR) of ₹100 crore and has successfully raised $10 million in Series A funding. As Pluckk scaled operations, the warehouse manager's role evolved from managing a single location to managing complex operations across multiple markets. Manual processes and fragmented information systems made it impossible for managers to maintain visibility and control.
Challenges
Information Fragmentation
Status updates were scattered across different apps and manual logs, leaving operations teams without a single source of truth.
High Manual Coordination Effort
Coordination between pickers, managers, and drivers required constant phone calls and manual handoffs.
Lack of Operational Predictability
Without real-time visibility, managers couldn't forecast workload or proactively address bottlenecks before they impacted customers.
Cross-Functional Complexity
Coordinating picking, packing, loading, and delivery while maintaining inventory accuracy was becoming unmanageable at scale.
Compliance and Audit Risks
Manual workflows made it difficult to maintain the rigorous documentation and audit trails required for food safety and quality standards.
Scalability Constraints
The management overhead was increasing proportionally with order volume, threatening the business's long-term margins.
Solution Architecture
Centralised Manager Dashboard
Provides a live "Order Status" view, batch management, inventory visibility, and real-time tracking of picker and driver performance.
Automated Workflow Engine
A rules-driven system that automatically moves orders through statuses (Received > Allocated > Picked > Ready > Delivered) without manual intervention.
Intelligent Exception Management
Dedicated modules for handling "Short Orders," driver unavailability, and quality control flags, allowing for rapid resolution of real-world issues.
Route-First Orchestration
The WMS organises all warehouse activity around optimised delivery routes, ensuring alignment between picking sequences and driver departures.
Real-Time Data Sync
All components (Picker App, Driver App, Manager App) connect to a unified backend, ensuring every action propagates across the system instantly.
Performance Analytics
Integrated tracking of key metrics like picking rates, fulfillment times, and delivery accuracy to drive continuous improvement.
The Impact, Measured
30-50% Reduction in Administrative Overhead
Automation of status tracking and coordination freed managers to focus on strategic optimisation.
3x Scale Capacity
The system enables Pluckk to handle triple the order volume with the same management headcount.
100% Real-Time Operational Visibility
Eliminated "blind spots" in the fulfillment cycle, from warehouse arrival to customer doorstep.
Improved Decision-Making
Managers now use live data to forecast workloads and proactively manage staffing and inventory.
Enhanced Customer Satisfaction
Predictable operations and automated updates have led to more reliable delivery windows and fewer fulfillment errors.
Stronger Compliance and Auditability
Instant, timestamped audit trails ensure adherence to safety standards and simplify regulatory reporting.
Comprehensive Before & After
| Impact Area | Before | After | Improvement |
|---|---|---|---|
| Admin Workload | High; lost to manual logs & follow-ups | Automated status & coordination | 30-50% reduction in admin hours |
| Operational Visibility | Fragmented; "Blind spots" in cycle | 100% real-time centralised view | Full traceability; 0 blind spots |
| Coordination Time | 2-5 hours/day lost to manual sync | Real-time automated sync | 70-85% reduction in coordination time |
| Fulfillment Predictability | Reactive; difficult to forecast | Data-driven workload forecasting | Major improvement in planning efficiency |
| Compliance Prep | Days of checking scattered records | Instant audit trails & versioned logs | > 80% reduction in prep time |
| Scalability | Management overhead grew with volume | Automated engine handles scale | 3x scale capacity with same team |
| Decision-Making | Based on informal/delayed info | Based on live performance metrics | Proactive vs Reactive management |
| Overall Efficiency | Distributed, manual, fragmented | Unified, automated, real-time | 35-45% improvement |
Project at a Glance
Client
Pluckk (SAFresh Technology Pvt Ltd)
Industry
Food-Tech / E-commerce
Capabilities
Engagement Model
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