Use Cases
Manufacturing Customer
“We selected xOPT primarily to helps us to model scenarios to improve our profitability and assess future opportunities and risks.
xOPT's end-to-end supply chain digital twin has allowed us to model identified scenarios we selected and evaluate the implications on returns for those selected scenarios. In addition, the model has enabled us to run scenarios and look at the effect of these on our ETS outcomes. The model ensures we can assess feasibility of our plans in a timely fashion and delivers actionable implementation strategies, building confidence in our decision-making process.
The model underwent thorough validation against our internal reporting, instilling trust in its results and recommendations. XOPT’s specialist team captured our organization's complexity, with co-development with our team, particularly in manufacturing activities and drivers, providing improved accuracy in fully attributed activity-based costing to assist with product and customer offering return analysis
The model, using our data, improved our insights and subsequent analysis lead to insights to improve our data quality with XOPT's data science techniques. This gave us trust in our data. Most importantly, the model uncovered opportunities with a substantial percentage increase in profitability.
We highly recommend xOPT's supply chain simulation software, a modelling tool that brings improved trust and insight in data and drivers of activities and builds high level of trust in its recommendations providing insights and allowing us to better apply our business knowledge.”
Agriculture Customer
Enhancing Agricultural Supply Chain Efficiency with xOPT Digital Twin
Company Profile: A prominent player in the agricultural sector, this New Zealand-based company boasts a robust revenue stream of NZ$800 million.
Challenge: As with many companies in the dynamic agriculture sector, managing cash flows, operational expenditures, and inventory in a cost-effective manner remained a challenge. Additionally, launching new products necessitated rigorous simulations to predict market responses and adapt inventory strategies accordingly.
Solution: Implementing the xOPT supply chain digital twin, the company was able to simulate various scenarios for its supply chain operations. This cutting-edge tool allowed the company to:
Optimize Cash Flow: Through detailed simulations, the best-case scenario identified potential cash flow savings of a whopping NZ$113 million.
Reduce Operational Expenditure: The digital twin highlighted an ideal inventory profile, which when adopted, predicted a yearly operational expenditure reduction of NZ$18 million. The simulations broke down these savings further, showcasing a potential reduction in carrying costs by $13 million and transport & handling costs by $5 million.
Strategic Product Introduction: The digital twin didn't just stop at current operations. Simulations were carried out to understand the potential effects and market dynamics of introducing new products. This foresight provided a clear path for strategic product roll-outs.
Inventory Policy Visualization: One of the standout features was the ability to visualize the effectiveness of various inventory policies. Not just from a capacity standpoint, but also from a critical financial perspective, ensuring stock levels were optimized for both operational efficiency and financial prudence.
Outcome: With the xOPT digital twin, the company was not only able to identify potential savings but also gained a strategic tool for future product launches and supply chain optimizations. The insights derived ensured that they remained at the forefront of supply chain efficiency in the agriculture sector.
Retail Customer
As a dynamic retail and online enterprise boasting a robust $3.4 billion revenue, our pursuit of streamlined operations and cost efficiency is relentless. Here's our transformative journey with the xOPT optimisation tool:
Significant Cost Reduction: After thorough analysis, the top-performing scenario spotlighted an opportunity for impressive annual savings. Specifically, we could cut our logistics costs by over 10%, translating to $15 million annually.
In-depth Analysis with Multiple Scenarios: The power of choice was truly in our hands as we modelled six diverse scenarios, including our baseline. The tool's sophisticated features provided insights unparalleled by any other platform we've encountered.
Strategic Distribution & Fulfilment Insights: Our extensive network of distribution and fulfilment centres underwent a strategic evaluation. By exploring a myriad of options, we could pinpoint the best routes to upscale our delivery efficiency.
Comprehensive Savings Breakdown: The detailed insights didn't just stop at high-level numbers. We delved deep into specific cost sectors, uncovering savings in transport, labour, packaging, and even our occupancy costs.
“With this optimization tool in our arsenal, we are not just saving; we're redefining the very fabric of our operational strategy. It's an indispensable asset for any forward-thinking enterprise, and we wholeheartedly endorse it."