PoC - Leverage Machine Learning and Generative AI to optimise sales and marketing strategies

Knowit AB

Unlock significant growth opportunities and gain a competitive advantage in the market.

Understand and optimise the drivers behind your sales to maximise the revenue and minimise marketing costs. By utilising advanced machine learning and generative AI techniques, Generative AI PoC aims to extract your key drivers of sales enabling accurate sales forecasting and the ability to simulate various scenarios to optimise sales strategies while minimising marketing expenditure.

In today's competitive business landscape, understanding customer buying patterns is crucial for success. Each product or service offered by a company has its unique set of customer behaviors and preferences, making it essential to dive deeper into these patterns. By comprehending and leveraging customer buying patterns, service feedback and attributes businesses can unlock significant growth opportunities and gain a competitive advantage in the market.

Knowit’s Generative AI PoC is a structured approach to developing a strategy and proof-of-concept of a solution where we combine advanced business analytics, machine learning and generative AI to tailor a POC solution that can benefit your enterprise and industry.

Benefits:

Enhanced decision-making: By utilising our advanced analytics framework, decision-makers will gain a comprehensive understanding of the factors driving sales within your organization. This knowledge will enable you to make informed decisions, resulting in improved revenue generation and reduced marketing costs. Cost optimisation: The ability to simulate different scenarios will empower you to identify cost-effective marketing strategies that yield the highest return on investment (ROI)

Optimised marketing: Combining key drivers between customer and product and generative AI, such as Azure OpenAI, drives target marketing to another level. Reduce time, repetitive work and cost in your marketing campaign.

Proof of concept steps:

Data collection and preparation: We will collaborate with your team to gather relevant data, including historical sales records, customer data, and marketing campaign information. Our data experts will ensure the data is properly cleansed and prepared for analysis.

Model development and validation: Our data scientists will develop a robust machine learning model tailored to your specific business needs. The model will be trained on the collected data and validated to ensure its accuracy and reliability.

PoC execution and analysis: Once the PoC-model is ready, we extract key sales drivers, performing sales forecasting, and simulating different scenarios. We will provide reports and visualizations, presenting the insights and recommendations for optimizing sales and marketing strategies.

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