Product Lifecycle Tracking
Every product has a life, from launch to growth, maturity and decline. Our AI tracks where each one sits using your real sales trends
Why It Matters
When a product moves from growth into maturity and starts to slip, the AI sees the trend change and flags it. You get the warning while the stock still holds value, not after it has been sitting for months.
Not every product deserves the same attention. The AI separates the products still climbing from the ones on the way down, so you promote and reorder the winners and stop pouring budget into products in decline.
The AI reads how each product has sold over time and places it in introduction, growth, maturity or decline. As new sales come in, the stage updates, so the picture stays current across the whole catalogue.
When a product's trend turns down, the AI flags it while the stock still holds value. Products drifting toward end-of-life are marked well before they become dead stock, so you can act instead of react.
A promote, reorder, hold or discontinue call for each product. Each product ends with a plain recommendation tied to its stage and stock.
How demand for each product is moving week over week: rising, flat or falling, and how fast.
Products whose sales have dropped below their own recent pace, flagged before stock starts to sit.
Steady decline over several periods, so you can wind a product down before it turns into dead stock.
How much stock you hold versus the stage the product is in, so mature and declining lines do not stay over-bought.
When a growth-stage product needs restocking, so winners do not run out during their peak run.
Products heading for a forced markdown, flagged early so you can clear them while they still hold value.
We connect to your ERP and pull product, sales and stock data.
The AI tracks how each product sells over time, week by week.
It places each product in a lifecycle stage from the trend.
Slow movers and end-of-life products are flagged and ranked.
Each product gets a suggestion: promote, reorder, hold or discontinue.
Warning on slow movers
Dead stock sitting in the warehouse
Deep, forced markdowns
Products backed with reorders
Call to promote, hold or discontinue
Cash tied up in the wrong stock
It runs on your real product, sales and stock data, so the stages reflect how your business actually sells.
We build ERP and software, so connecting to your data and stock is our normal work, not a science project.
We pick the approach that fits your data and hosting rules, and keep the logic tied to your sales trends.
Every product ends with a clear suggestion, so planners act instead of reading charts.
We can begin with one category or brand, prove the calls, then widen it across the catalogue.
It is an AI service that watches how each product sells over time and works out which lifecycle stage it is in, from launch to growth, maturity and decline. It then flags what to do next, so you grow the right products and phase out the rest in time.
It reads the real sales trend for each product in your ERP: how demand is moving week over week, whether it is rising, flat or falling, and how that compares to similar products. From that pattern it places the product in a stage and updates it as new sales come in.
No. It gives your planners an early, ranked list of what needs attention, such as slow movers and products heading into decline, so they spend time on decisions instead of digging through reports.
It works from your own ERP and sales data: product master, sales history, current stock and, where useful, purchase and lead-time data. We connect to what you already run, so it uses your real numbers.
By spotting slow movers and end-of-life products early, it warns you before stock piles up. You can stop reordering, clear stock while it still holds value, and avoid the deep markdowns that come from reacting too late.
The service is model-agnostic. We choose the approach that fits your data and hosting rules, and the logic stays tied to your real sales trends rather than any single vendor's model.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical first look at your product lifecycle.
