sales@signitysolutions.com USA :

About

Velura Logistics

Being a mid-sized third-party logistics (3PL) and warehouse management company, Velura Logistics operates distribution centers across India, Singapore, and the UAE.With expanding ecommerce clients and multi-channel inventory flows, they faced increasing operational complexity and frequent human errors in inventory handling.

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Regional Warehouses

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SKUs/ Month

What We Delivered?

AI-powered Warehouse Management Platform

A unified ecosystem that blends computer vision, predictive analytics, and autonomous warehouse systems to streamline receiving, storage, picking, and dispatch operations. Key AI Agents Integrated:

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Vision Agent

Detects misplaced or damaged goods through CCTV and sensor feeds, using AI vision models, anomaly detection, and automated alerting.

inverntry

Inventory Agent

Predicts restock needs and reduces data-entry errors, with demand forecasting, SKU tracking, and automated reconciliation workflows.

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AI-Task Assigning

Assigns pick/pack tasks to staff or robots dynamically, by analyzing the priorities, availability, proximity, skill matching, and deadlines.

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Optimization Agent

Learns real-time congestion and reroutes tasks to balance workloads, leveraging reinforcement learning, traffic patterns, throughput metrics, and forecasts.

quality agent

Quality Agent

Validates weight, labeling, and count accuracy before dispatch, using sensor fusion, tolerance rules, audit logs, and exceptions.

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Compliance Agent

Monitors worker safety, equipment usage, and regulatory compliance, with policy engines, incident reporting, real-time alerts, and audits.

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Inaccurate Inventory Data Led Order Errors

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Challenge

Frequent manual updates to stock counts led to inventory mismatches on systems, causing 3–4% order inaccuracies each month.

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Solution

WareMind AI connected real-time barcode scanners, shelf sensors, and computer vision feeds. The Inventory Agent compared scanned data with database entries every 5 minutes, automatically flagging discrepancies for supervisor approval.

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Impact

→ Inventory errors reduced by 63% within 3 months.
→ Customer complaints dropped 41%.

Slow Picking & Packing Reduced Throughput

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Challenge

Pickers manually searched for items in large storage zones, often losing 15–20 minutes per order during peak hours.

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Solution

The Task Orchestration Agent created optimized pick paths using historical order data and layout heatmaps. Pickers received route prompts on handheld devices, while autonomous mobile robots (AMRs) handled bulk movement between zones.

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Impact

→ Order processing time reduced by 38%.
→ Throughput increased by 29% per shift.

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Misplaced Goods Caused Delays in Dispatch

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Challenge

Pallets were often stored in incorrect bins, delaying dispatch and consuming hours of manual search time.

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Solution

The Vision Agent, trained using real video data, identified mislabeled or mislocated pallets through camera feeds. AI automatically generated location correction tickets and updated WMS positions.

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Impact

→ Misplaced inventory incidents dropped by 54%.
→ Warehouse idle time reduced by 22%.

Human Dependency During Night Shifts

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Challenge

After-hours warehouse activity was limited to partial operations, as staff were minimal and supervisors unavailable.

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Solution

WareMind AI introduced a self-monitoring workflow mode, where the system independently verified inbound/outbound data, alerted managers of anomalies via WhatsApp, and generated automated end-of-shift summaries.

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Impact

→ Night shift efficiency improved by 31%.
→ Error reporting time cut from 4 hours to under 30 minutes.

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Lack of Real-Time Visibility For Managers

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Challenge

Supervisors relied on static daily reports to assess performance, leading to delayed decisions.

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Solution

A real-time analytics dashboard, powered by WareMind AI, provided live metrics on pick accuracy, throughput, and equipment utilization. AI-driven insights highlighted potential bottlenecks and enabled smarter decisions.

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Impact

→ Managerial decision-making time reduced by 47%.
→ Forecast accuracy for incoming stock improved by 35%.

Impact Delivered
by WareMind AI

Velura Logistics Network achieved measurable operational transformation within six months of implementation.

Let’s Get Started!
63%

Fewer Inventory
Errors

38%

Faster Order Processing

54%

Less Lost Stock Incidents

31%

More Night Shift Productivity

22%

Better Warehouse Utilization

17%

More Annual
Savings

Let’s Get Started!

Technologies

Technology Stack Powering WareMind AI

A secure and modular infrastructure designed to scale across warehouses and geographies

AI Models
Custom GPT-4 based orchestration | TensorFlow vision models | Reinforcement learning for task optimization
Frameworks
LangChain for agent coordination | FastAPI for backend communication
Cloud Infrastructure
AWS EC2 | S3 | IoT Core for device management
Warehouse Hardware
Zebra scanners | HikVision cameras | Fetch Robotics AMRs
Databases
PostgreSQL for operations | Redis for caching live data
Integration
Oracle WMS | SAP S/4HANA ERP | Twilio for alerts
Analytics & Visualization
Power BI dashboard with real-time data sync

Why Logistics Businesses Choose Us As Their AI Partner?

Specialized Logistics AI Expertise

We’ve built 15+ AI systems for warehousing and supply chain optimization. Our agent-based solutions focus on tangible ROI, not experimental automation.

Reliable Integration
Experience

Deep integration with Oracle WMS, SAP, and major robotics providers ensures smooth adoption without disrupting current operations.

Practical Implementation Approach

Each AI agent solves a real warehouse challenge, from stock errors to inefficient routing, making automation achievable for SMB and enterprise logistics players alike.

Scalable and Secure Architecture

Built for high-volume operations, WareMind AI grows with your business across warehouses, countries, and client contracts.

Ongoing Support and Enhancement

We provide continuous model retraining, real-time system monitoring, and proactive version updates to keep your AI agents performing at peak efficiency.

Measurable Performance Outcomes

We track critical KPIs such as error reduction, turnaround time, pick-rate accuracy, and overall labor efficiency, delivering quantifiable business impact.

Ready To Build Smarter Warehouses with AI?

Discover how intelligent automation improves accuracy, speed,
and decision-making across your supply chain.

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