How a Fast-Growing D2C Health Brand Reduced Stockouts by 60–70% and Cut Inventory Holding Cost by 25–30%

Industry: D2C / Health & Wellness

Channels: 2C, Quick Commerce, Modern Trade 

Planning: ulti-SKU, multi node 

Challenge: High demand variability by channel

Stage: Legacy Systems and Manual Processes.

Impact At a Glance:

The Operating Environment:

A fast-growing health and wellness brand selling across D2C, quick-commerce, and modern trade faces a planning problem that compounds as it scales. Each channel has its own demand pattern, velocity, and service expectation. In quick commerce, a stockout does not just lose a sale; it loses a customer review, a re-order, and sometimes a customer permanently.

At the same time, carrying excess safety stock on slower-moving SKUs ties up working capital the business needs to fund its next phase of growth. Getting this balance right requires planning that responds to actual demand at the SKU and channel level

The Scaling Pressure:

Static parameters, set once and reviewed infrequently, cannot keep pace with the variability and velocity that characterise D2C growth. Stockouts were frequent and unpredictable across distribution nodes

Static planning parameters and manual processes created compounding barriers as the brand scaled across channels and SKUs.

Static Safety Stock Levels:

Safety stock levels were static; set on historical assumptions that did not reflect current demand variability.

Fully Manual Reorder Planning:

Every replenishment decision required planner time, limiting speed and consistency as SKU complexity grew.

Channel Demand Not Reflected:

Channel-level demand differences were not reflected in inventory logic; the same approach applied regardless of velocity or mix.

Planner Bandwidth Consumed:

Planners spent their bandwidth on routine tasks rather than exceptions and decisions that required human judgment.

Disconnected Upstream Planning:

Upstream raw material and packaging planning was disconnected from finished goods demand, creating blind spot.

Growing Complexity Outpacing Team:

Growing SKU and channel complexity was increasing strain faster than the team could absorb it.

Demand-Driven Inventory Planning & Replenishment Platform:

Enmovil replaced static inventory parameters with continuously updated logic. Safety stock levels, reorder points, and reorder quantities were recalculated in real time against actual demand variability, lead times, and service level targets across each SKU and channel. As demand patterns shifted, planning adjusted without requiring manual input.

Continuous threshold monitoring replaced manual replenishment checks. When stock breached a defined limit, automatic indent generation triggered the replenishment cycle without planner intervention. The team moved from running routine tasks to managing exceptions, freeing bandwidth for decisions that require human judgment.

Finished goods planning was connected upstream. Raw material and packaging requirements were derived directly from finished goods consumption signals, so upstream shortages were visible and resolvable before they became production bottlenecks.

1.Demand-Driven Inventory Planning:

•Dynamic safety stock recalculated against real demand

• Reorder point and reorder quantity optimization by SKU

• Continuous stock threshold monitoring across nodes

2.Automated Replenishment:

•Automatic indent generation on breach

• Channel-aware inventory logic by velocity and mix

• Planner workflow shifted to exceptions and strategy

3. Upstream Material Intelligence:

• Upstream raw material planning from FG demand signals

• Packaging planning integrated into replenishment cycle

• End-to-end planning from finished goods to raw material

4.Service Level & Scalability:

• Service level targeting by SKU and channel

• Scalable planning model without headcount addition

• Planning model scales with SKU and channel growth

STRATEGIC IMPACT:

Inventory planning moved from static parameters and manual routines to a demand-driven, automated model that adjusts in real time. Replenishment became a growth enabler, and the supply chain gained the responsiveness and scalability needed to support the business as it grows across channels and SKUs.