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 (formerly MIR Insight) 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
+60%
Smart Purchase Timing
Accuracy
$2M
Margin Protected
~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, MIR’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?
We use only the verified from official institutions, market research companies, and other reliable sources vetted by us.
Each data source has to pass an extensive verification process before it is used in our analysis.
How accurate are your trends?
We only provide forecasts that bring significant improvements (30%-70% relative error reduction) in comparison to established baselines.
What security measures do you use?
We use the latest and highest security standards in cloud architecture and access policies.
All data we used is anonymized and doesn’t contain any reference to customers or otherwise.
What do you mean by explainable?
Explainability means understanding why trends may unfold in a certain way and what external market factors influence them. Sybilion provides context and transparency to help you understand these factors.
Can I confidently share my data with you?
Yes. Our AI does not require data, that is significantly more sensitive than what you would anyway share in your annual reports.
We handle data with care and apply the latest security and hosting standards.