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How can GenAI assist with your profitability, customer service and sustainability goals

Businesses are constantly making operational decisions such as planning resources, re-organising production plans, ordering inventory or analysing customer margins. These decisions have a direct impact on profitability (and shareholder value), customer service and sustainability targets.

The common theme in most businesses we’ve helped, is that day to day operational decisions are made without a clear understanding of the full impact of their decision, be it financial or operational.

We have found that many businesses have access to data in the form of scattered or fragmented reports presenting outdated financial and operational metrics. This data generally lacks the insights needed to make optimal operational decision
These “insights” range from identifying the optimal volume of stock to order considering demand, costs and lead times, to predicting when we are going to breach a customer SLA or assessing if a certain customer/job is profitable.

We must ask how often businesses meet their planned or quoted operating margins, per their pricing models?

In our experience – rarely! Let us unpack why this is the case:
The combination of the above points has made it impossible for Operators to get a clear understanding of most recent data, let alone make optimal decisions considering business goals.. This results in suboptimal decisions that diminish margins, impact customer service and ultimately shareholder value.

What if you had an army of AI Analysts, working on your business 24/7 and guiding your operations to make optimal decisions

The common theme in most businesses we’ve helped, is that day to day operational decisions are made without a clear understanding of the full impact of their decision, be it financial or operational.

Aggregate data from multiple sources in real-time

Run predictive or forecasting models, and optimisation models

Run recommendation engines that are trained in your business processes/SOP

Run what-if/scenario analysis

Use GenAI models to talk to you in business English to simplify human-system interaction

To put this into perspective in an inventory planning scenario, the AI models recommend the optimal inventory orders by balancing demand, supplier costs, reliability and sustainability targets – trained with a clear agenda of maintaining service levels whilst minimising working capital.
When new events occur, such as changes in customer ordering patterns, delay in shipping or build up of excess inventory, the AI Analysts recommend an optimal action based on what it sees and what it predicts. This could range from redirection of stock from other DCs, promotions or emergency orders.

Every AI driven recommendation, takes into consideration the impact on profitability, customer service and sustainability

In order to successfully realise the targeted ROI on AI, there are a variety of micro-solutions that need to be collectively implemented, including:
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