Most companies use simple approaches for sell-in pricing, which includes delegation of most of decision making to related sales people within certain boundaries. We believe that sell-in pricing excellence is very linked to central decision making and salesforce automation by creating a pricing engine including all complexities of business. There are many dimensions that, in theory, need to make an impact on pricing of a product or service and they all start with the right calculation of costs. We start with ensuring all related costs such as capital costs are included in COGS or COSS. For mark-up – or mark-down in some cases – we include all relevant dimension according to client specifics. These dimensions include buyer segment or relation level, size of transaction, demand trend for the good or service, current stock, promotions, competition, etc. We then develop the logic for basket pricing for multiple product or service purchases and combine all these in a pricing engine. Our engagements usually include the design of the processes and tools required to run the engine. We utilise our machine learning engineers for developing predictive models and service designers for designing the user experience of tools whenever necessary.