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Case Study: Driving Agility & Superiority During Peak Volatility

Explore how a global gifting brand re-engineered peak-season operations, and what the model means for enterprises like P&G.
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Key Takeways for P&G

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  • P&G's brands face their own version of peak volatility: major promotional windows, retail resets, and holiday demand surges across dozens of markets.
  • Consolidating fragmented vendor relationships into one model can simplify oversight and sharpen forecasting accuracy.
  • Purpose built support hubs can flex instantly during high demand periods without disrupting service.
  • Predictive, data driven forecasting can turn seasonal volatility into a reliable growth lever.
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Client Overview: A renowned floral gifting brand with over a century of heritage required a highly agile operational model to handle massive, concentrated spikes in consumer demand during high-stakes peak seasons like Valentine's Day and Mother's Day.

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The Challenge: Fragmented Legacy Models Hindering Scalable Growth

Historically, the brand relied on a fragmented, multi-vendor outsourcing model to manage extreme demand volatility during its critical holiday surges.
This decentralized approach created friction. It introduced operational complexity, strained management oversight, and severely limited the brand's ability to accurately forecast demand and plan workforce allocation. The lack of centralized control led to inefficiencies, inflated costs, and inconsistent execution, putting the consumer experience at risk during the most important days of the year.
Incremental improvements to the existing setup wouldn't be enough. The brand needed a constructive disruption of its legacy operations to build a streamlined, highly agile model capable of flexing with unpredictable volume.

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The Sutherland Blueprint: Building a Resilient Global Engine

To eliminate friction and enable future scale, Sutherland partnered with the gifting brand to deploy a comprehensive strategy grounded in process engineering and data-driven automation:

Global Consolidation for Speed & Control

Transitioned the brand from a disjointed multi-vendor model to a streamlined, single global-provider ecosystem — simplifying oversight, standardizing execution, and sharpening demand forecasting.


Strategic Centers of Excellence

Deployed dedicated, scalable support hubs across the Philippines, India, and Egypt — a flexible staffing architecture built to instantly absorb holiday surges without disrupting service.


Data-Driven Predictive Forecasting

Integrated advanced analytics to enable highly accurate demand forecasting and intelligent resource allocation — minimizing waste and maximizing responsiveness.


The Outcome: Turning Peak Season Volatility into Scalable Profitability

Sutherland's intelligent automation and consolidation strategy delivered measurable impact across revenue and efficiency — proving that scale and premium quality can coexist during seasonal volatility.

6%

TOPLINE REVENUE

Higher conversion & seamless CX at peak

11%

WORKFORCE EFFICIENCY

Via predictive forecasting & staffing

$1.3M

ADDITIONAL REVENUE

Annually, from the new model

$175K

COST SAVINGS

By eliminating multi-vendor waste

84%

CSAT AT PEAK

Maintained under extreme volume

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Why This Matters for P&G

P&G operates a portfolio of iconic, category-leading brands that each face their own version of peak volatility. The same principles that helped this global gifting brand turn seasonal volatility into a growth lever can be applied to an organization operating at P&G's scale and complexity.
For a company like P&G, that could translate into fewer fragmented vendor relationships, faster and more consistent execution across markets, and an operating model built to flex, without compromising the consumer experience during the moments that matter most.
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Let's build P&G's version of this story.

Sutherland partners with global enterprises to turn operational complexity into a competitive advantage. Let's discuss what the next chapter of transformation could look like across P&G's brands.

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