Clearer forecasts, stronger pricing: How Sybilion helped Maral Overseas
Maral Overseas struggled with unpredictable demand and pricing until Sybilion brought clarity to their planning.
At a Glance
Clearer forecasts, stronger pricing: How Sybilion helped Maral Overseas
Maral Overseas struggled with unpredictable demand and pricing until Sybilion brought clarity to their planning.
About
Maral oveseas
Maral Overseas Ltd. is a prominent vertically integrated textile manufacturer based in Noida, India. With end-to-end capabilities across spinning, knitting, dyeing, finishing, and garment manufacturing, Maral delivers premium yarns, fabrics, and ready-made garments to global markets spanning North America, Europe, the Gulf, Southeast Asia, and Africa.
Background & Challenge
Despite its comprehensive infrastructure, Maral Overseas faced relentless demand variability and raw material price fluctuations. These challenges led to forecasting inaccuracies, inventory imbalances, and reactive planning, destabilising operations and squeezing margins.
Solution
Sybilion implemented its advanced demand forecasting and planning platform, integrating real-time data, historical demand trends, and predictive analytics. This enabled Maral to transition from reactive guesswork to confident, data-driven decision-making across procurement, production, and inventory management.
Our Impact
$2M
Margin Protected
+60%
Forecast Accuracy Gain
~3%
Revenue Protected
“As a vertically integrated textile producer, we need to forecast much better to minimise lead times for our customers. To my great surprise, Sybilion's model was able to forecast our yarn and cotton trends accurately, and that’s the reason why we got started together.”
Summary
By partnering with Sybilion, Maral Overseas shifted to a proactive, insight-led planning model, boosting forecasting precision, preserving revenue, and fortifying its operational resilience in a volatile market
Frequently Asked Questions
What data do you use?
Each data source has to pass an extensive verification process before it is used in our analysis.
How accurate are your trends?
What security measures do you use?
All data we used is anonymized and doesn’t contain any reference to customers or otherwise.
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We handle data with care and apply the latest security and hosting standards.
Can I confidently share my data with you?
We handle data with care and apply the latest security and hosting standards.


