INSPIRATION
AI algorithms combined with machine learning support companies to be proactive in dealing with demand fluctuations. For example, AI-based forecasting solutions allow managers to plan supply chain processes and find ways to reduce operating costs. Self-driving AI and smart road technologies are affecting a positive shift towards delivery service automation. In addition, AI-based cognitive automation technology brings intelligence to automate administrative tasks and speeds up information-intensive operations.
New Zealand-based startup Insite offers AI-based software solutions for price prediction, demand forecasting,and optimization of flows & processes, catering mainly to the consumer packaged goods (CPG) and retail industries. The software provides modules for risk assessment and demand forecasting to automate process decisions and control operational conditions. The machine learning-enhanced platform provides tools to collect and integrate process data in real-time. As a result, managers are well equipped to provide actionable insights when it comes to product replenishment.
Australian startup Adiona develops AI-based Optimization Software-as-a-Service (OSaaS) that allows companies to improve their logistics processes and reduce costs. Adiona’s FlexpOps API optimizes static and dynamic delivery routes by solving vehicle routing and related challenges. In addition, the software supports the decision making of fleets over time by predicting conditions such as demand, weather, and traffic by employing machine learning techniques. The solution also optimizes the workforce requirement and automates redeployment.
