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AI Case Studies


135
real-world use cases by business function

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Entity Recognition

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
2x

faster service

15%

CX boost

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Brian Bowman

President Carsoup, automotive online marketplace
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Entity Recognition preview
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Technically proficient and solution-oriented.

Employee Tracker

The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
100h+

manual work reduced

13%

work experience boost

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Bernd Herzmann

CTO Retail company
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Employee Tracker preview
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DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.

Performance Measurement

The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
17%

increase in sales

25%

Improvement in Employee KPI Achievement Rate

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Amir R.

CEO Fashion Retailer
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Performance Measurement preview
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They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.

Stock relocation solution

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
10%

productivity boost

7%

increase in sales

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Mark S.

Partner Pharmacy network
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Stock relocation preview
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The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.

Back Office Automation

The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.
32%

FTE costs reduction

19%

revenue growth

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Aleksandr Kharin

CEO Biolevox, Medical Product Distributor
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Back Office Automation preview
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They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.

Mailing Platform

We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
15%

CX boost

20%

cost optimization

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Gonzalo Ramos

Partner Trade Union
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Mailing Platform preview
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DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.

AI and Machine Learning for Healthcare

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Industry-Specific Workflow Automation

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Healthcare—Spend More Time on Patients, Less on Paperwork

  • AI transcribes consultations and writes clinical notes in real-time, reducing documentation time by 60–70% per visit.
  • Systems within AI workflow automation flag missing documentation and continuously validate records against regulations, reducing audit preparation time from weeks to days.
  • Predictive scheduling matches staff to patient flow and equipment needs, decreasing idle time by 20–30% and eliminating most manual coordination.
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Retail—Stop Guessing What Sells and When

  • AI workflow consulting services implement data-driven workflow optimization that predicts demand by location and season, resulting in a 25–40% reduction in overstock.
  • Automated responses handle 70–80% of routine questions instantly, freeing staff to focus on complex issues that require judgment.
  • Dynamic pricing automation integrates with workflow automation tools to adjust in real-time, lifting margins by 5–15% without requiring manual repricing.
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Finance—Catch Problems Before They Cost Millions

  • AI flags suspicious patterns across thousands of transactions per second, catching 40–60% more fraud than rule-based systems while reducing false positives.
  • Automated underwriting, powered by AI workflows, evaluates applications in minutes instead of days, reducing processing costs by 50–70% and accelerating approvals without increasing risk.
  • Systems pull data from multiple sources and generate compliant reports automatically, shrinking reporting cycles from weeks to hours and eliminating manual errors.
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Manufacturing—Know What Breaks Before the Line Stops

  • AI-powered workflows sequence jobs based on machine availability, material flow, and order priority, resulting in a 15–25% reduction in idle time and a decrease in late deliveries.
  • Vision systems spot defects that humans miss or catch too late, identifying 90–95% of issues before products leave the floor.
  • Automated tracking and reordering are orchestrated through workflow automation layers, and triggers reorder when stock levels drop, preventing 60–80% of material shortages that halt production.
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Logistics—Move More Without Burning Fuel

  • AI recalculates routes in real-time based on traffic, weather, and delivery windows, resulting in a 10–20% reduction in fuel costs and an improvement in on-time rates.
  • Data extraction from bills and forms is handled through AI workflow automation, eliminating 80–90% of manual entry that delays shipments.
  • Workflow optimization with AI orchestrates picking sequences and stock placement within facilities by 25–35%, thereby speeding throughput without requiring additional labor.
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Real Estate—Close Deals Faster Without Chasing Every Lead

  • AI-powered workflows score inquiries by budget, timeline, and property fit within minutes, allowing agents to focus on the 20–30% of leads that convert, rather than calling everyone.
  • Models compare recent sales, local trends, and property condition in seconds instead of hours. Valuations land within 5–8% of what a human appraiser would estimate.
  • Automated valuations and document routing in AI workflow automation shrink turnaround time by 70–85%.
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Reviews

Blake Fausett

Blake Fausett

Principal Systems Architect at Sagis Diagnostics
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Dmitri Nedelchev

Dmitri Nedelchev

Head of Risk Management at ICU
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They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss. We are comfortable that we have a good product that will get traction.

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Stuart Theobald

Chairman Intellidex, Financial Services and Consulting company
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They understood our requirements, translated into actions rapidly, and adapted to requests easily. DATAFOREST delivered the product on time. Moreover, their communication was excellent. They were understanding, fast, and flexible.

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Josef Ganim

Founder & CTO Dropship.io
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In the first year of cooperation we earned an extra $150,000 in profit from the information DATAFOREST’s work provides us. I really enjoy working with DATAFOREST and the products they’ve delivered. They’ve allowed us to grow our business exponentially!

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Jonathan Lien

CEO Advanced Clear Path, Inc., E-commerce Company
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DATAFOREST’s services are worth every penny. The team strives to create cost-efficient solutions to make the engagement worthwhile. Equipped with reliable data management skills, they supply me with marketable product. 

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Enrico Cattabiani

Founder & CEO IDN, Infrastructure Deals Network
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They have very intelligent people on their team — people that I would gladly hire and pay for myself. DATAFOREST has exceeded our expectations, playing a very important role as our technology partner.

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Robert P.

CTO Cybersecurity
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DATAFOREST has exceeded our expectations. The team has delivered effectively and organized all communication via virtual meetings, email, and messaging apps. Their unique approach to organizing deliveries impressed us.

Kate Shcherbak

Kate Shcherbak

Product Marketing Manager, Software Development Company

Qvist Sweden AB

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Their data engineering expertise is definitely at the highest level. The team has clear communication and facilitates sprints smoothly. They're also highly transparent, resulting in an effective partnership.

Darleen Lydia

Darleen Lydia

Partner, Qvist Sweden AB

Still Have Questions?

What is data engineering? Why is it important?

Data engineers build data systems that collect and store information. These systems manage a lot of data with secure data ingestion. Analysts use this data to find answers. Businesses then make decisions based on data processing.

How does data engineering help business operations?

Customization makes routines easy. It analyzes customer behavior through data solutions. You can decide immediately. Raw data is converted into useful plans using automated data processing.

How long does it take to implement?

Development takes a few days to a month. A typical engineer takes one to three months. Complex solutions take three to six months. Time depends on your system and current custom data. We implement tools in stages to support continuous data services.

How much does it cost?

Prices depend on the size of the program and the amount of custom data. We recommend an initial fee assessment from our data developers. Our experts will calculate the exact price. You can estimate the price with our calculator.

Which sectors have the most value?

Financial services and healthcare are seeing the biggest gains. Small businesses and manufacturing are also benefiting from data solutions. These sections contain customer data. They are easy to follow the rules. Businesses with a lot of marketing activity are seeing a faster return on investment.

Where should a business begin?

Check your current data system setup and goals. Build a plan that fits those needs. Find easy wins first. Run a small test in one department. Show the value there. Then expand to the rest of the company.

Is it better to start with a consultation?

Yes. A consultation connects tech, AI, and data services to your goals. We find problems early. We choose the right tools. You save money later.

Are you a full-cycle provider?

We handle the whole process. We plan the strategy. We build the data system. We manage data ingestion and data processing. We stay to support your custom data products.

Will different data formats cause problems?

No. Modern tools handle many sources. We clean and combine them using robust data ingestion. The original format does not matter. The location does not matter. We bring it all together.

What is your team's experience?

Our data developers average 18 years of experience. They have finished projects in many industries. They hold top certifications. They know the latest tech in data systems and data solutions.

We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

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