ALLY

ALLY is an Australian fashion brand focused on providing high-quality, highly wearable basic apparel, with a style leaning towards minimalist, neutral, and business casual. The brand's selling point is "Australian Made," emphasizing natural fabrics and sustainable production practices. Its product lines include women's wear, men's wear, and accessories. With brick-and-mortar stores in Australia and select international markets (such as New Zealand and Singapore), the brand has also been expanding globally through e-commerce platforms in recent years.

Background

Facing rapid business growth, ALLY encounters challenges in its warehouse receiving and shipping processes due to frequent manual operations, leading to error-prone fulfillment and omissions. Inventory management relies on manual stocktaking, resulting in delayed data updates and a lack of real-time data support, hindering accurate demand forecasting and inventory allocation. Consequently, inventory turnover efficiency is low, causing inventory backlogs and impacting the company's profits.

Business Challenges

High Error Rate in Receiving and Shipping: Reliance on manual verification in warehouse receiving and shipping processes results in high labor costs, low data accuracy, and inefficient operations.

Lagging Inventory Data: Traditional manual inventory counting is time-consuming and labor-intensive, susceptible to human error, and unable to reflect real-time inventory dynamics, impacting sales opportunities.

Inaccurate Demand Forecasting: Lack of real-time inventory and sales data hinders accurate demand forecasting, leading to frequent inventory backlogs or stockouts.

Solution

Automated Receiving and Shipping Verification
RFID tunnel readers are deployed in the receiving and shipping areas of the warehouse, enabling rapid, bulk identification of goods. The system automatically compares data against ERP order information and corrects errors in real time, significantly improving efficiency.

Real-time Inventory Synchronization
The RFID system collects warehouse goods data in real time, providing real-time inventory visibility. Item accuracy is improved to 99.9%, ensuring consistency between "system inventory" and "actual inventory."

Intelligent Demand Forecasting
By combining RFID inventory data with POS sales data, an AI-powered demand forecasting model is built to guide precise replenishment and promotional strategies, optimizing inventory turnover days.

Impact&Results

Inventory counting efficiency increased by several times.
Inventory accuracy improved to over 99.9%.

Shipping verification time reduced by 90%.
Receiving efficiency improved.

Replenishment cycle shortened.
Stockout rate reduced.

25 Years of Industry Expertise · RFID Digital Solutions

Focused on the Fashion Industry, Serving 100+ Fashion Apparel and Footwear Brands

Customer Cases

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