Product lifecycle control: planning, analytics, lower costs, and sales growth at every stage.
Our clients
A digital platform for monitoring and managing the lifecycle: from SKU launch to shelf removal. We forecast demand, adjust inventory, and increase assortment profitability over time. Benefits of product lifecycle management for your business
The platform tracks the entire product journey, from launch to phase-out, and flags deviations from the typical sales pattern.
At each lifecycle stage, the system suggests actions: repricing, rotation, promotion, write-off, or transfer
Sales decline forecast AI identifies signs of falling interest in an SKU and helps you act before the item becomes dead stock.
All lifecycle data is available in BI systems, where it can be combined with any KPI or metric
The system tracks the product lifecycle, from shelf launch to discontinuation. It forecasts peaks and declines in interest and suggests response scenarios: repricing, promo, phase-out, and replacement. The solution includes:
We track product lifecycle phases using triggers
We forecast sales decline before it happens
We offer scenarios: promo, repricing, and removal from shelf. Business result:
A significant reduction in dead stock and faster turnover
Maximize profit from every SKU until it declines
Minimize loss-making write-offs and rotation errors. Solutions without unnecessary complexity, from idea and analysis to results
We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results
We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value
We build tools to monitor and manage product lifecycle stages. Timely decisions on launch, promotion, and shelf removal, based on demand behavior and AI forecasts. 20% fewer write-offs at the end of the cycle 25% faster response to sales declines 2x higher forecast accuracy by SKU 3-4 weeks average cycle from design to MVP launch Customer reviews
