03 / 04 — Problems We Solve

The challenges
draining your supply chain

Traditional inventory management leaves businesses exposed to costly inefficiencies. These are the problems Naba was built to eliminate.

Problem 01

Overstock

Excess inventory ties up capital and storage space, leading to increased holding costs and potential waste.

Up to 25% of capital locked in excess inventory

Problem 02

Dead Stock

Products that stop selling become obsolete, resulting in write-offs and wasted resources.

Average businesses lose 3-5% annually to dead stock

Problem 03

Poor Forecasting

Inaccurate demand predictions lead to either stockouts or overstock, damaging customer satisfaction and profitability.

40% of businesses struggle with demand forecasting

Problem 04

Stockouts

Running out of products means lost sales, disappointed customers, and damaged reputation.

Stockouts can result in 4% revenue loss
$1.1T

Lost globally to inventory distortion every year

Overstock, dead stock, stockouts, and forecasting failures cost businesses trillions. Naba turns these losses into optimized operations.

OverstockDead StockStockoutsForecasting

04 / 04 — Solutions

How Naba helps

Our AI-powered platform addresses these challenges head-on with intelligent, continuously learning solutions.

AI-Powered Demand Forecasting

94% accuracy predictions that adapt to your business patterns

Smart Inventory Optimization

Automated recommendations to maintain optimal stock levels

Unified Data Integration

Connect all your data streams for complete visibility

Scenario Simulation

Test decisions before implementing with what-if analysis

Demand ForecastingInventory OptimizationData IntegrationScenario Simulation

From problems to predictions — one platform

Naba transforms the inventory challenges costing your business into optimized, AI-driven operations — continuously learning, adapting, and improving your supply chain performance.

Naba

AI-powered inventory intelligence for smarter, faster decisions. Optimize stock, reduce losses, and forecast demand with high accuracy.

System Operational

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Built by HTU Students