Retail & E-commerce
Europe
Joint Product Development Framework
When sat for the first round of discussion, the client highlighted these issues in their workflow:
The client managed over 6,000 SKUs in the alcohol category but struggled with the labor-intensive task of manually extracting, sorting, and analyzing email offers. This process took significant time, often leading to delays in identifying profitable opportunities and errors in handling data.
A lack of automated systems for categorizing and evaluating offers impeded timely decisions, resulting in missed opportunities, suboptimal inventory management, and delays in acting on market trends.
The project involved designing and deploying an automated system for processing email offers. To achieve this, our team of engineers took these key initiatives:
Data Collection and Pre-Processing
AI-Powered Annotation and Cleaning
Advanced Entity Processing
Data Storage and Automation
Pipeline Development
Error Detection and Troubleshooting
The automated system cut manual data processing by 80%, saving over 120 hours weekly and allowing the team to focus on strategic priorities like supplier negotiations.
Offer processing time dropped from 2 hours to 15 minutes, an 85% improvement, enabling faster decision-making and quicker deal closures.
AI-powered validation delivered over 95% accuracy, drastically reducing errors in data extraction and ensuring reliable information for critical decisions.
Real-time insights improved inventory optimization by 20%, while supplier diversification increased by 15%, reducing sourcing risks and unlocking better deals.
Multi-currency integration cut discrepancies by 90%, simplifying international payments and ensuring accurate cross-border transactions.
Automated updates and troubleshooting ensured 99.5% system uptime, guaranteeing uninterrupted operations and continuous data access.
The automated email parsing and data extraction solution transformed the client’s offer management. By using AI models and strong data pipelines, it sped up decision-making, improved data accuracy, and streamlined operations across their SKU inventory. Real-time insights and multi-currency support enhanced financial and inventory management, enabling the client to act on profitable opportunities quickly.
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
