A leading retail company operating hundreds of stores across multiple countries managed inventory almost entirely by hand. As the business grew particularly online sales this manual approach became a real constraint on scaling.
∙ Inaccurate inventory results from manual tracking
∙ Frequent manual errors throughout the process
∙ Entirely manual inventory management, unable to keep pace with business growth
∙ No real time visibility into product movement, from order to receipt to shipment
∙ Unoptimized inventory levels, tying up storage and capital
Aiwozo built an AI/ML driven system to track and manage inventory continuously, from the moment goods were ordered through to shipment, automating roughly 60% of the monitoring workload.
Tracking agents monitored stock in real time across the full lifecycle ordered, received, and shipped replacing manual stock checks with continuous visibility.
Forecasting agents analysed customer ordering patterns and requirements to recommend inventory needs directly to the purchasing team, rather than relying on manual estimation.
Receiving agents scanned barcodes on goods received to identify and log stock automatically.
Storage optimization agents allocated storage space based on each product’s actual sales turnover, rather than a fixed or arbitrary layout.
Key business and operational challenges that limited performance, scalability, and governance before automation was introduced.
