We’ve enabled a leading global freight-forwarder to automate the e-mail routing and data capture process, saving 42,000 man hours annually for their offshore back-office team

Our solution automatically classifies and routes e-mails to the relevant division, summarises data for quoting, and captures data from known PDF and excel documents

What we were solving for

Reduced workload: Given the large volume of customer queries received daily, dedicating resources to classification/routing of emails or summarising reduces the resources available for tasks that actually create value for the Customer

Scalability: A similar solution is now being developed for other business functions, as it automates the flow of unstructured data to source system, reducing the cost/task materially

OptiSol solution

We have built a machine-learning (ML) based classifier and a Power Automate bot to automate this process end-to-end

We built two levels of ML classifiers, and trained the model with large volumes of historical classification

We used a custom NLP pipeline to identity and extract relevant entities like tracking number, shipment details etc., to ease subsequent review of the emails

Various solutions including OCR solutions have been applied to capture data from PDFs, excel documents and scrapping websites

What our Clients say

"They are very responsive and able to shift focus quickly as we have needed it for business reasons."

"They [OptiSol Business Solutions] have been very friendly and they kept up with the work. They did the job as we had discussed and as everything was arranged."

“I can't speak enough about how pleased I am with their process; it was seamless and efficient.”

"What impressed me the most was their willingness to go above and beyond what was asked."

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.