How AI & Manufacturing Analytics Improved Operational Visibility for a Food Manufacturer
Client Name
Hollandia
Industry
Food Manufacturing
Technology
Data Engineering, Power BI, AI/ML
Location
USA
Client Name
Hollandia
Industry
Food Manufacturing
Technology
Data Engineering, Power BI, AI/ML
Location
USA
About
Hollandia is a US-based food manufacturing company dealing with the kind of operational complexity that comes with running a serious production business. They had data coming in from ADP, Dynamics 365, eRMS, and RedZone, four different systems, none of them connected. The CFO and CEO had no easy way to get a clear picture of the business without someone manually pulling everything together. Decisions were getting delayed, inefficiencies were piling up, and the team knew something had to change.
The Partnership
We worked closely with the CFO and CEO to to identify operational reporting gaps and build a scalable food manufacturing analytics solution that supported faster, data-driven decision-making.
Mapped out all four source systems and understood how data was moving between them Listened to what leadership needed to see to make faster, better decisions Planned a phased approach so improvements came in stages without disrupting operations Stayed involved through each scope to make sure everything landed the way it was intended
Challenges
Data spread across ADP, Dynamics 365, eRMS, and RedZone with no connection between them
No single place to see how the business was performing
Reports had to be pulled together by hand every time someone needed numbers
KPIs meant different things in different parts of the business
Process inefficiencies going unaddressed because no one had full visibility
Solution
- Unified Reporting Across ADP, Dynamics 365, eRMS & RedZone
The first step was centralizing manufacturing and operational data into a unified reporting environment so leadership could access real-time business insights from one place.
Connected ADP, Dynamics 365, eRMS, and RedZone into a single reporting setup
Built dashboards that gave the CFO and CEO a clear view across operations
Standardized KPIs so everyone in the business was measuring things the same way
- Automated Data Pipelines with Azure Databricks for Food Manufacturing
After centralizing reporting, the focus shifted to automating data movement and eliminating manual reporting dependencies.
Built data pipelines into Azure Databricks so data moved on its own
Removed the manual exports that were slowing everything down
Reports started updating faster without anyone having to trigger it
- Predictive Analytics & AI for Food Manufacturing Operations
With connected manufacturing data in place, we introduced AI-driven operational analytics to help Hollandia move from reactive reporting to proactive operational intelligence.
Proposed conversational analytics so teams could ask questions in plain language and get answers straight away
Built predictive models to support route optimization and flag inefficiencies before they became bigger problems
Gave leadership tools to move from reactive decisions to proactive ones
Results
Leadership can see the full business in one place for the first time
No more manual data pulls, everything updates on its own
KPIs are consistent across the business, so everyone is working from the same picture
Reporting that used to take days now happens automatically
Route planning and operational decisions are backed by data, not guesswork
The business has the foundation to keep adding intelligence as it grows