See how organisations like yours are using Silico.
Use advanced simulation to forecast margin dynamically
Companies are operating in an increasingly uncertain and volatile macroeconomic environment which is causing significant uncertainty around strategic plans. Key cost factors such as raw materials, production, energy, and transportation costs are all fluctuating rapidly making it difficult to forecast with any certainty.
When market conditions deviate from historical data then forecast models provide inaccurate predictions. Understanding how cost and pricing changes today impacts decisions in the future is critical to navigating an optimum path.
- Dynamic Margin Forecasts
- Driver Based Margin Analysis
- Supply and Demand Forecasting
- Customer & Product Pricing Optimisation
Using simulation to measure and monitor the ROI of transformation initiatives
Businesses are unable to get a clear view on how potential transformation changes to processes impact the wider business and key business KPIs.
This means they do not have the necessary information to make informed prioritisation decisions in business transformation.
Silico lets businesses create Digital Twins of the Enterprise to help design better process for a more effective organisation.
- Demand vs. Capacity Simulation
- Process improvement ROI measurement
- Process change prioritisation
- Lead to Cash process optimisation
Marketing ROI Measurement and Optimisation
Optimise marketing campaign ROI
Modern marketing campaigns are complex. Even for a single product, marketing budgets are allocated across multiple channels and within each channel across multiple audiences and approaches.
By simulating the allocation of marketing budget across these different strategies it becomes possible to run through the thousands of possible allocations to find the one that maximises marketing ROI.
- Digital Ad Prospecting Campaigns
- Digital Ad Retargeting Campaigns
- Channel mix optimisation
- Audience targeting optimisation
Supply Chain & Inventory Management
Manage the trade-off between efficiency and robustness
As businesses wrestle with the trade-off between efficient supply chains, and ones which are robust to shocks, Silico provides a solution for modelling change.
By continuously simulating supply chains under a large number of scenarios, decision makers are able to quantify the trade-offs between efficiency and robustness and to dynamically manage that trade-off as the economy, business, and supply chain evolve.
- Inventory level optimisation
- Capacity planning and optimisation
- Supply chain reconfiguration
- Product mix reconfiguration
Model the dynamic pricing of products and treatments over their lifetime
Understanding and optimising the pricing lifecycle of drugs and treatments across geographies is a challenge for Healthcare and Applied Science companies.
A number of dynamic factors need to be modelled to achieve the best balance between financial investment and customer outcomes.
Silico provides a solution for modelling the dynamic relationships between supply, demand, and novelty on a region by region or customer by customer basis, and that takes into account the changing price of treatments over time.
- Drug Lifecycle Management
- Product Price Optimisation
- Regional Strategy Planning
- Competitor Pricing Analysis
Balance Sheet Planning
Test out strategic plans on a simulated balance sheet
The evolution of balance sheets through time is affected by a large number of factors. In deciding how best to strategically allocate resources, there are numerous trade-offs and second-order effects which must be taken into account to understand the impact on the balance sheet in 1, 3 and 5 years’ time.
Running through all of the myriad scenarios for how best to manage the Balance sheet is a complex and costly process with significant margin for error.
- Strategic Capital Allocation
- Liquidity Management
- Dynamic Cost Modelling
- Risk Management