Case study · Consumer Goods

How a Fortune 500 Consumer Products Company Cut Channel Inventory from 70+ Days to 30–40

A Fortune 500 consumer products company in India had too much stock in its distribution channel, the wrong product mix and inaccurate forecasts. Anamind's Planning as a Service lifted forecast accuracy above 80% and brought channel inventory down to 30–40 days.

Industry: Consumer products · Business model: Manufacturing, sales and distribution · Region: India

70+ → 30–40Days of channel inventory
80%+Forecast accuracy
8%Slow-moving and obsolete stock at the start
The challenge

What was getting in the way.

Stock was piling up with distributors while in-demand products ran short, and manual inventory work was taking the sales team away from the market.

Excess inventory

Channel inventory was above 70 days, with 8% slow-moving and obsolete stock.

Compromised range selling

The high channel inventory was often the wrong mix, limiting the availability of in-demand products and risking lost sales.

Distributors missing stock targets

Distributors struggled to keep to their agreed stock levels (ASL).

Low field sales productivity

Manual inventory management pulled the sales team away from the market, contributing to a 2% year-on-year decline in sales.

Cost of a new system

Implementing a new planning system meant investment, time and a learning curve for new tools and processes.

The solution

What Anamind put in place.

Anamind set up a solution focused on secondary sales forecasting, inventory planning and demand sensing.

Planning as a Service

A streamlined planning process run with expert analysts and advanced analytics, in close coordination with the company's internal teams.

Planning intelligence

Demand sensing reports gave detailed visibility of regional performance and product trends, and interactive dashboards highlighted what needed attention.

The results

What changed.

  • Forecast accuracy improved to over 80% through collaboration and advanced algorithms.
  • More accurate secondary sales forecasts made the primary sales forecast more precise.
  • Channel inventory fell to 30–40 days, with an optimised product mix.
  • A robust, responsive planning capability that achieved the targeted outcomes.

“We've seen great results with this solution! It's improved our forecasting, collaboration, and decision-making, especially with its user-friendly interface and drill-down features.”

Planning team, Fortune 500 consumer products company
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