AI success stories

Forecast demand.

Eliminate guesswork.

An AI-powered demand forecasting platform that replaced fragmented manual planning acrossa global beauty brand - delivering 20%+ accuracy gains and 50% less manual effort.
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Industry
Cosmetics & Beauty
Region
SAPMENA
Channels
D2C + B2B
About the client

An energy management leader that wanted predictive analysis

A global leader in energy management and industrial automation needed a faster and more scalable way to validate its desktop-based power management applications across multiple product versions. Manual regression testing was slowing release readiness, increasing dependency on SMEs, and making consistent coverage harder to maintain.

The numbers speak for themselves

Measurable outcomes delivered within months of deployment across D2C and B2B channels.

94.3%

Forecase Accuracy
Up from 73.9% — a +20.4 point improvement over baseline

2,840

SKUs Modeled
Every SKU assigned the best-fit model from the ensemble

12

Markets
Centralized reporting views deployed across all regions

50%

Effort Reduction
Manual planning hours cut in half — freeing teams for strategy

Planning that couldn't keep pace with growth

As the brand expanded its direct-to-consumer footprint across SAPMENA, the existing demand planning approach buckled under complexity — misaligning inventory, slowing decisions, and exhausting teams.
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Standardized Method
Each market operated with entirely different forecasting approaches
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Standardized Method
Each market operated with entirely different forecasting approaches
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Standardized Method
Each market operated with entirely different forecasting approaches

What was breaking down

The planning environment wasn't failing in one place. It was failing in five — and each failure compounded the others into a system that couldn't scale.
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Scattered Data Landscape
Demand data was spread across Excel files, cloud systems, and order platforms — with no unified ingestion layer or single source of truth.
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Scattered Data Landscape
Demand data was spread across Excel files, cloud systems, and order platforms — with no unified ingestion layer or single source of truth.
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Scattered Data Landscape
Demand data was spread across Excel files, cloud systems, and order platforms — with no unified ingestion layer or single source of truth.
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Scattered Data Landscape
Demand data was spread across Excel files, cloud systems, and order platforms — with no unified ingestion layer or single source of truth.

A five-layer AI platform, built to scale

Every layer was designed to work in concert — from raw data ingestion to boardroom-ready insights. No gaps, no silos, no manual handoffs.
01
Data Engineering
Unified ingestion and processing from Excel exports, cloud systems, and order platforms — creating a clean, consistent data foundation.
02
Data Science
Ensemble of ARIMA, SARIMAX, XGBoost, LightGBM, and Prophet — the best model selected per SKU category automatically.
03
MLOps
Automated model lifecycle management, retraining pipelines, and performance monitoring — keeping models accurate over time.
04
Web Application
Business user interface for forecast review, adjustment workflows, and approvals — putting planners in control of AI outputs.
05
Reporting
Power BI integration delivering 12 reporting views for planning teams and executive leadership across all 12 markets.
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One platform.
One source of truth.
One way to plan.

 
The answer was to replace fragmented, manual, judgment-based forecasting with a unified AI-powered platform that standardises methodology across all markets, automatically selects the best model for each SKU, and keeps planners in control of every AI-generated forecast.
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Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
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Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
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Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
Frame-3

Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
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Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.
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Unified Data Foundation

All data sources are consolidated into a single ingestion layer, creating one reliable source of truth for planning across all 12 markets.

Transformative impact, measurable results

Forecasting accuracy 20%+

Improvement across short-term and mid-term planning horizons - The highest accuracy the brand had ever achieved.

Manual planning effort 50%

Reduction in time spent on spreadsheets and manual reconciliation - planners now focus on strategy and decisions.

Stockout & Overstock Reduction

Fewer inventory incidents across all 12 markets - tighter alignment between supply and actual demand signals.

12 Centralized Reporting Views

Unified Power BI dashboards accessible across markets - replacing fragmented, siloed reporting with one source of truth.

Transformative impact, measurable results

Within months of deployment, the brand moved from reactive firefighting to proactive, AI-driven planning — with confidence in every forecast.

20% improvementin forecast accuracy

Across both short-term and mid-term planning horizons — the most significant accuracy gain in the brand's planning history.

50% reduction in manual effort

Planners now spend time on strategy and decision-making — not reconciling spreadsheets and chasing data across systems.

Tightersupply-demand alignment

Production schedules now reflect real demand patterns — reducing waste, improving service levels, and strengthening supplier relationships.

12 reportingviews across the organisation

A centralised Power BI platform accessible to planning teams and executives across all markets — one version of the truth.

Fewer stockouts& overstocking events

Across all 12 markets — tighter alignment between production schedules and actual demand signals reduced costly inventory errors.

Built on best-in-class technologies.

A carefully selected ensemble of statistical, machine learning, and MLOps tools — each chosen for its strengths across different SKU categories and demand patterns.
ARIMA
Classical time-series for stable, linear demand patterns
SARIMAX
Seasonal patterns with expernal regressors like promotions
XGBoost
Gradient boosting for complex, non-linear demand signals
LightGBM
High-speed gradient boosting for large-scale SKU modeling
Prophet
Trend and seasonality decomposition for volatile categories
PowerBI
12 reporting views for planning and executive insights
MLOps
Automated retraining, versioning, and performance monitoring

Built for real businesses plan

Six core capabilities that work together to deliver accurate, explainable, and actionable forecasts — at scale.
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Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
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Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
Frame-2
Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
Frame-2
Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
Frame-2
Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
Frame-2
Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
Frame-2
Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.
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Multi-Driver Forecasting
Incorporates promotions, pricing, traffic, inventory levels, events, and holidays — not just past sales data.

Built for the hardest forecasting environments

image (6)-Jun-18-2026-08-46-59-0661-AM

Retail & E-Commerce

Demand forecasting at SKU and category level across D2C and B2B channels — with full promotional and seasonal awareness.

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High-Volatility Supply Chains

Handles promotional spikes, seasonal surges, and external shocks — with ensemble models that adapt to changing demand patterns.

image (6)-Jun-18-2026-08-46-59-0661-AM

Retail & E-Commerce

Demand forecasting at SKU and category level across D2C and B2B channels — with full promotional and seasonal awareness.

image-Jan-20-2026-03-53-08-7231-AM

High-Volatility Supply Chains

Handles promotional spikes, seasonal surges, and external shocks — with ensemble models that adapt to changing demand patterns.

The main reason to choose Nagarro as a partner was location, operating worldwide as we were expanding more and more globally. But also we wanted the relationship to mean something from both sides. The project experience has proved, we made the right choice.
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The main reason to choose Nagarro as a partner was location, operating worldwide as we were expanding more and more globally. But also we wanted the relationship to mean something from both sides. The project experience has proved, we made the right choice.

Build a resilient
utility network.

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