Manufacturing Reimagined with EverythingAI^TM

The manufacturing sector is under more pressure than ever to boost productivity, streamline decision-making, and keep innovating to stay competitive. Yet, legacy systems, data siloes, and inefficient processes continue to pose challenges for productivity, efficiency, and safety. The good news? Artificial Intelligence (AI) is stepping up in a big way to help solve these problems. Generative AI, for instance, can drive 2x productivity gains and 70% task automation in manufacturing and supply chain operations through advancements in content generation, insights, and user interactions.¹

Four Areas of Impact for Manufacturing Success 

1. Revitalizing slow sales processes that hurt productivity 

Inside sales teams are bogged down by manual data entry, hindering their ability to efficiently generate product recommendations and quotations. Not only is this time-consuming, but also error prone, which means customers can get frustrated, and manufacturers lose out on potential sales. According to a McKinsey report, implementing AI in sales processes can boost revenue by at least 5% while cutting down costs significantly².​

AI tools like SLK’s Everything AI^TM Channel Support Companion make it easier for sales teams to offer personalized product recommendations and generate quotes quickly. By providing personalized suggestions and data-driven insights, this AI tool speeds up decision-making and enhances customer engagement, ultimately boosting conversions.

2. Effortlessly managing multilingual product manuals 

If you’ve ever dealt with product manuals that need to be translated into multiple languages, you know the pain. Different scripts, hidden text, and format inconsistencies often cause delays. This is where AI, particularly Generative AI, can be a lifesaver. 

Our AI solutions like Document Language Translation take the headache out of multilingual product manuals. It automates translation, ensures accuracy, and preserves formatting across languages. This is a game-changer for manufacturers working in multiple regions, as it speeds up time to market and enhances customer satisfaction​ with seamless multilingual support.

3. Improving quoting efficiency 

Manufacturing companies face several challenges when quoting. These include accurately pricing complex products, balancing customization with profitability, generating timely quotes under pressure, handling spreadsheet limitations, etc. Quoting manually amplifies these challenges and creates quoting errors and delays. 

     SLK’s AI-powered manufacturing solutions, like Quote AI, automate the entire email-to-quote process- efficiently extracting, validating, and generating quotes from customer emails. This cuts down response times and boosts accuracy, making it a win-win for both manufacturers and their customers. No more manually entering data or double-checking numbers, EverythingAI™ can tackle all of it.

4. Keeping workers safe 

One of the toughest tasks for manufacturers is keeping workers safe, especially in large industrial environments. Manual tracking methods are increasingly proving inadequate in meeting the complex safety demands of the modern manufacturing sector. The integration of sophisticated technologies can enable preventive measures against such incidents. 

Start innovating with  SLK’s Everything AI^TM , which encompasses AI-enabled platforms and solutions tailored for your manufacturing functions. Our solutions enable      real-time tracking of employee locations, geofencing, and automated safety alerts. This not only boosts safety but also improves operational efficiency.      

The Future of Manufacturing is EverythingAI^TM

Manufacturing success depends on taking an AI-led approach. Early adopters have already seen massive improvements, and the industry has barely scratched the surface of what is possible with AI leadership. However, to unlock this potential of AI in manufacturing, organizations need to move beyond point solutions and look at AI adoption from AI lens. 

To learn more about EverythingAI^TM , write to us at [email protected]!