Driving Industrial Equipment Sales with Automation & Digital Workers

Context & Problem

Our partner, an industrial equipment manufacturer operating in highly configurable product environments, faced long quote cycles, inconsistent recommendations, and heavy reliance on scarce experts. This limited sales scalability and responsiveness.

We created an intelligent guided selling solution to automate product configuration and recommendations using internal knowledge and unstructured data.

The result is a shift from weeks-long quoting cycles to near real-time recommendations, significantly improving accuracy, scalability, and commercial efficiency.

Facts & Figures

The solution reduced quote cycle time from approximately 2 weeks to around 30 seconds (a decrease in wait time of over 99%), significantly changing responsiveness and customer engagement. At the same time, first-time-right recommendation accuracy increased to 80–90%, reducing the need for repeated testing and rework.

Quote throughput increased by 40–60% without additional headcount, allowing sales operations to scale without proportional resource growth. In parallel, expert and documentation effort was reduced by up to 80%, freeing up specialised resources for higher-value activities.

Beyond operational efficiency, the solution provides real-time insights into customer demand, supporting better decision-making across sales, marketing, and supply chain functions.

Business Challenge & Why Accesa

Selling complex industrial equipment requires accurately matching customer needs with the right combination of machines and tools. In this case, the process relied heavily on expert knowledge, manual analysis, and physical testing, making it both time-consuming and difficult to scale.

Each recommendation could take up to two weeks to complete, largely due to limited expert availability. Even then, outcomes were not consistently correct on the first attempt, requiring additional testing cycles. Once a suitable configuration was identified, the process had to be manually documented, adding further delays.

At the same time, critical knowledge was distributed across teams and systems, often stored in unstructured formats. This made it difficult to reuse expertise, standardise decision-making, or ensure consistent outcomes across different regions and teams.

We set out to transform this process into a scalable, knowledge-driven system by introducing automation to capture and operationalise internal expertise, reduce dependency on manual effort, and enable faster, more reliable quoting in a highly competitive market.

Solution & Impact

The implemented solution introduces intelligent configuration and guided selling capabilities that combine knowledge management with AI-driven recommendations.

At its core, the system analyses customer requirements and matches them with the most suitable product configurations, delivering recommendations and supporting documentation within seconds. This replaces the need for lengthy manual analysis and significantly accelerates the quoting process.

A key aspect of the solution is the structuring and utilisation of previously siloed and unstructured internal data. By consolidating this knowledge into a centralised system, the organisation can ensure that recommendations are consistent, traceable, and based on proven expertise.

The platform also standardises documentation and decision-making processes, improving transparency and enabling easier validation of recommendations. This not only reduces errors but also builds greater trust in the generated proposals.

From an operational perspective, the solution shifts the role of experts from executing repetitive tasks to overseeing and refining the system, allowing their knowledge to scale across the organisation. At the same time, sales teams can respond to customer requests more quickly, improving efficiency and competitiveness.

Applicability & Current Status

Future developments can further enhance the platform by integrating additional data sources and enabling more advanced analytics, strengthening its role as a central decision-making tool across commercial and operational functions.

The approach is highly applicable to organisations operating in engineer-to-order or configure-to-order environments, where product complexity and reliance on experts create bottlenecks in the sales process. It is particularly relevant for industries such as industrial machinery, automation systems, and specialised equipment manufacturing.

By transforming a manual, expert-driven process into an intelligent, scalable system, our partner has significantly improved speed, accuracy, and efficiency in product configuration and quoting. The shift enables faster customer response, better use of internal expertise, and a stronger competitive position. The solution is already delivering measurable results and can be extended across additional regions, product lines, and business units.

Is your business also experiencing bottlenecks due to expert scarcity or dealing with complex sales processes? Then let’s set up a call and see how our automation capabilities can make your processes run smoother.