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Case Study

How Kiwi Outdoor Gear Reduced Stockouts by 85% with AI-Powered Inventory

From manual spreadsheets and frequent stockouts to automated inventory management and optimized sales—how Marcus Chen transformed his outdoor retail business with agentic AI.

85%
Stockout Reduction
8 weeks
Implementation Timeline
$42k
Annual Cost Savings
Marcus Chen, Owner of Kiwi Outdoor Gear

Marcus Chen

Owner

Kiwi Outdoor Gear

About Kiwi Outdoor Gear

Kiwi Outdoor Gear is a Wellington-based outdoor equipment retailer specializing in hiking, camping, and adventure gear for New Zealand's outdoor enthusiasts. Founded by Marcus Chen in 2019, the business operates both a physical store and an online shop serving customers nationwide.

Industry
Outdoor Retail
Location
Wellington, NZ
SKUs
2,500+ Products
Team Size
8 Staff

The Challenge

"We were constantly running out of popular items while overstocking slow movers. Manual inventory tracking in spreadsheets meant we'd discover stockouts only when customers asked. Lost sales were killing us, and excess inventory was tying up cash we needed for growth."

— Marcus Chen, Owner

Inventory Chaos

  • • Manual stock counts taking 8+ hours weekly
  • • Frequent stockouts on bestselling items (15-20% of SKUs)
  • • $85k in excess slow-moving inventory
  • • No visibility into reorder points or trends

Lost Revenue

  • • Estimated $120k annual lost sales from stockouts
  • • Customer frustration and lost repeat business
  • • Reactive ordering causing rush shipping costs
  • • No data-driven pricing or promotion strategy

The Solution

We deployed a suite of AI agents that automate inventory tracking, predict demand patterns, optimize reorder points, and provide real-time sales insights—transforming chaos into data-driven efficiency.

1

Smart Inventory Tracker Agent

Monitors stock levels in real-time across physical store and online shop, automatically syncing inventory between channels and alerting staff when items reach reorder points.

REAL-TIME TRACKINGMULTI-CHANNEL SYNC
2

Demand Forecasting Agent

Analyzes historical sales data, seasonal trends, and external factors (weather, holidays, events) to predict demand for each product category and automatically generate purchase orders.

PREDICTIVE ANALYTICSAUTO REORDERING
3

Dynamic Pricing Agent

Monitors competitor pricing, stock levels, and sales velocity to recommend optimal pricing strategies. Automatically suggests markdowns for slow movers and identifies opportunities for premium pricing on high-demand items.

COMPETITIVE ANALYSISPRICE OPTIMIZATION
4

Sales Intelligence Agent

Generates daily sales reports, identifies trending products, flags underperforming categories, and provides actionable insights for marketing campaigns and promotional strategies.

SALES ANALYTICSTREND DETECTION

Implementation Timeline

1

Weeks 1-2: Discovery & Data Audit

  • • Analyzed 18 months of sales data and inventory records
  • • Mapped current workflows and pain points
  • • Identified top 200 SKUs for initial rollout
  • • Established baseline metrics (stockout rate, inventory turnover)
2

Weeks 3-6: Development & Integration

  • • Built AI agents and trained on historical data
  • • Integrated with existing POS and e-commerce platform
  • • Set up automated alerts and dashboard
  • • Tested forecasting accuracy with pilot SKUs
3

Weeks 7-8: Full Rollout & Training

  • • Expanded to all 2,500+ SKUs across both channels
  • • Trained staff on dashboard and alert system
  • • Established weekly review process for AI recommendations
  • • Began tracking performance metrics

Before & After

Before Automation

After Automation

Stockout Rate

18%

Stockout Rate

2.7%

Weekly Inventory Time

8 hours

Weekly Inventory Time

30 minutes

Excess Inventory Value

$85k

Excess Inventory Value

$22k

Inventory Turnover (Annual)

3.2x

Inventory Turnover (Annual)

5.8x

Results & ROI

85%

Stockout Reduction

7.5hrs

Saved Per Week

$42k

Annual Cost Savings

Additional Benefits

Recovered Lost Sales

Estimated $95k annual revenue recovered from eliminated stockouts

Freed Up Capital

$63k cash released from reduced excess inventory

Improved Customer Satisfaction

Product availability increased from 82% to 97%

Data-Driven Decisions

Real-time insights enable strategic purchasing and promotions

"

The AI system has completely transformed how we manage inventory. We went from constant firefighting—running out of bestsellers and drowning in dead stock—to having the right products at the right time. Our customers are happier, our cash flow is healthier, and I finally have time to focus on growing the business instead of counting stock.

Marcus Chen

Marcus Chen

Owner, Kiwi Outdoor Gear

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