We developed an ETL solution for a manufacturing company that combined all required data sources and made it possible to analyze information and identify bottlenecks of the process.
We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.
The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
14.8 mln
pages processed daily
43 sec
updates checking
Sebastian Torrealba
CEO, Co-Founder
DeepIA, Software for the Digital Transformation
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
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%.
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.
Stuart Theobald
Chairman
Intellidex,
Financial Services and Consulting company
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.
Josef Ganim
Founder & CTO
Dropship.io
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!
Jonathan Lien
CEO
Advanced Clear Path, Inc., E-commerce Company
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.
Enrico Cattabiani
Founder & CEO
IDN, Infrastructure Deals Network
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.
Robert P.
CTO
Cybersecurity
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
Product Marketing Manager, Software Development Company
Qvist Sweden AB
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
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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