Real Results, Proven Impact
Explore how our solutions have transformed businesses through data, innovation, and performance excellence.
“Stockouts cost more than lost sales. See how predictive dashboards kept spare parts available at the right time.”
Running out of the right spare part at the wrong time can stall entire operations.
This case study shows how GCC teams used inventory dashboards to forecast demand, balance stock, and reduce downtime risks.
Why download the PDF?
- See how 83.8% stock availability was maintained in 2022
- Compare actual vs. predicted demand across 4 years
- Learn how dips (like 2024’s 50% drop) were forecasted early
Understand how planners adjusted stock ahead of seasonal peaks
“Late deliveries cost trust and revenue. See how predictive analytics enabled accurate delivery time forecasts, cutting delays and boosting efficiency. Discover the case study now.”
On-time delivery is critical, but predicting delays isn’t easy.
This case demonstrates how we used historical data and AI modelling to predict steel part delivery times accurately, enabling smarter scheduling and fewer customer complaints.
Why download the PDF?
- See real dashboards visualizing delivery performance trends
- Understand how predictive modelling aligned delivery times with reality
- Learn step-by-step how the Lasso Regression model was implemented and validated
“VIP customers shape your brand’s revenue. Discover how predictive analytics unlocked precise sales forecasts, enhancing service and loyalty for high-value shoppers.”Understanding VIP customer purchase patterns is critical, yet challenging.This case reveals how advanced predictive modelling analyzed past sales data to forecast future purchases by VIP customers, enabling personalized service and smarter inventory decisions.
Why download the PDF?
- See real dashboards tracking VIP customer purchase trends
- Learn how predictive models improved forecast accuracy for high-value segments
- Get a step-by-step walkthrough of model deployment and dashboard integration
“Stockouts and overstocks hurt profitability. See how data-driven forecasting aligned distributor inventory with market demand, reducing costs and improving availability.”
Distributors across the GCC faced challenges in balancing stock with demand.
This case shows how we combined regional economic data, historical sales, and interactive Power BI dashboards to forecast distributor demand across Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and UAE.
Why download the PDF?
- View real dashboards displaying forecasted sales units and stock on hand
- Understand how top distributors and high-demand SKUs were identified
- Learn the method for combining macroeconomic indicators with granular sales data to boost forecasting accuracy
“Energy bills show the cost. Dashboards reveal the leaks. See how factories turned power waste into savings.”
Energy is one of the biggest hidden costs in factories. The real challenge isn’t just knowing how much power is used — it’s seeing
where it leaks and how to save.
This case study shows how smart factories used BI dashboards to track energy use, costs, and carbon emissions across plants.
Why download the PDF?
- See how $18M in energy costs was broken down across 5 major plants
- Track carbon emissions (1.71M kg) and the plants with the highest footprint
- Explore machine-level analysis — from furnaces to pumps — showing where 37.7% of power was consumed
- Learn how projected savings of $883K were identified through optimization
- Understand how efficiency improved, even when costs fluctuated
“Revenue doesn’t vanish overnight. See how churn prediction helped telecom towers protect steady income.”
Telecom towers rely on long-term tenant leases from mobile operators. But mergers, competition, or financial stress can lead to sudden churn — costing millions in revenue and leaving towers idle.
This case shows how predictive analytics flagged at-risk tenants early, so companies could act with retention offers before revenue slipped away.
Why download the PDF?
- See how $18M in energy costs was broken down across 5 major plants
- Track carbon emissions (1.71M kg) and the plants with the highest footprint
- Explore machine-level analysis — from furnaces to pumps — showing where 37.7% of power was consumed
- Learn how projected savings of $883K were identified through optimization
- Understand how efficiency improved, even when costs fluctuated
“Revenue isn’t the only metric. See how hospitals balanced patient trust, wait times, and efficiency in one dashboard.”
Hospitals run on more than doctors and beds — they run on data.
This case shows how GCC hospitals used dashboards to track revenue, patient wait times, and staff efficiency across cities.
Why download the PDF?
- See real dashboards comparing hospital performance by city
- Learn how wait times were reduced to under 15 minutes
- Discover how staff deployment improved patient trust
“Drug sales don’t always follow forecasts. Watch how predictive models flagged dips early and boosted pharma strategy.”
Pharma sales rarely follow a straight line. Seasonality, city demand, and drug margins shift fast.
This case highlights how predictive modelling helped forecast drug revenue before problems turned into losses.
Why download the PDF?
- Compare actual vs. forecasted sales across 3 years
- See how a 61% YoY dip was flagged early
- Identify high-margin drugs driving profitability
- Learn how sales planning aligned with seasonal demand
“Breakdowns don’t come unannounced. See how predictive maintenance turned failure data into reliable operations. A real case study on cutting downtime and costs with BI dashboards.”
Machines don’t fail without warning — the signals are always there.
This case shows how we used 10K+ records to predict breakdowns, track failure rates, and plan maintenance before costly downtime hit.
Why download the PDF?
- See actual dashboards with failure trends
- Learn how predictive modelling cut surprise breakdowns
- Get step-by-step on turning raw data into clear action
“Manual checks miss defects. Discover how automated quality inspection reduced errors and sped up decisions on the shop floor. Explore the case study today.”
Quality checks are often slow, manual, and inconsistent.
Here, image-based analytics streamlined inspections, reduced defects slipping through, and sped up decision-making on the shop floor.
Why download the PDF?
- Compare manual vs. automated inspection performance
- View defect trend dashboards and inspection times
- Learn the deployment steps used in real-world conditions
