Automated Stock Alerts and Reorder Points for Distributors
Running out of fast movers while slow stock gathers dust is a planning problem, not bad luck. Reorder points and automated alerts turn stock control into a daily routine.

A beverage distributor in Amman discovers on a Thursday afternoon that its best-selling bottled water is out of stock in the main warehouse, just before a weekend of hot weather. The supplier needs five days to deliver. Meanwhile, the same warehouse holds four months of a juice flavour that barely sells. The buyer is not careless. He is working from a weekly stock report and memory, and neither is quick enough for fast-moving items.
Reorder points and automated stock alerts solve this by telling buyers, item by item, when it is time to order. The maths is simple. The discipline of keeping it current is where most companies fall short.
The reorder point in plain terms
A reorder point is the stock level at which you should place a new order, so that the delivery arrives before you run out. It has two parts:
- Demand during lead time. How much you expect to sell while waiting for the supplier to deliver. Calculated as average daily sales multiplied by the lead time in days.
- Safety stock. An extra buffer to cover days when sales are higher than average or the supplier is late.
So the formula is: reorder point equals average daily sales times lead time, plus safety stock. When stock on hand, plus stock already on order, falls to or below that level, it is time to order.
A worked example
Say an item sells an average of 40 cartons a day, and the supplier delivers in 5 days. Demand during lead time is 40 times 5, which is 200 cartons. Sales sometimes reach 60 cartons a day, and deliveries occasionally take a day longer, so you decide on a safety stock of 120 cartons, which is three days of normal sales. The reorder point is 200 plus 120, which is 320 cartons.
When available stock drops to 320, the system alerts the buyer. If the order quantity is set to cover two weeks of sales, the buyer orders around 560 cartons, adjusted for pallet sizes or supplier minimums.
There are more precise statistical methods for safety stock, using the variation in daily demand and lead time. For most mid-sized distributors, a rule of thumb based on a number of days of cover, set by item class, is a sensible start and can be refined later.
Not every item deserves the same attention
Distributors often carry thousands of items. Setting reorder points item by item is impractical unless you group them. A simple ABC classification, which sorts items into three classes by sales value, works well:
| Class | Typical share of items | Approach |
|---|---|---|
| A: high value or fast moving | A small share of items, most of the sales value | Individual reorder points, reviewed monthly, higher safety stock, daily alerts |
| B: medium | A middle group | Reorder points by formula, reviewed quarterly, weekly alerts |
| C: slow or low value | Many items, little of the sales value | Simple minimum and maximum levels, low safety stock, monthly review |
This focuses buyers’ time on the items where a stock-out costs real money, and stops them from overbuying slow items just to be safe.
Designing alerts people act on
An alert is only useful if it reaches the right person in a form they can act on quickly. A daily email with 400 items below their reorder point will be ignored by the second week.
- Send alerts to the buyer responsible for that supplier or category. Not to a general mailbox.
- Group by supplier. Buyers order by supplier, so an alert list grouped that way can become a draft purchase order with one click in many ERP (enterprise resource planning) systems.
- Include the context. Current stock, stock on order, average daily sales, days of cover remaining and the suggested order quantity.
- Separate urgent from routine. Items already below safety stock, or with less than two days of cover, go to the top or trigger a separate message.
- Track what happens next. If an alert is ignored for two days on an A item, notify the purchasing manager.
Most ERPs, including Odoo, SAP Business One and Microsoft Dynamics, support reorder rules and can generate purchase suggestions automatically. Where the ERP’s built-in features are limited, a scheduled data workflow can calculate days of cover from sales history and send alerts by email or a messaging tool.
Fix the data before you trust the alerts
Automated alerts are only as good as the stock figures behind them. If the system shows 300 cartons and the shelf holds 150, the alert will come too late. Before switching on automation, make sure receiving and dispatch are recorded promptly, stock counts are regular for A items, and lead times in the system reflect what suppliers actually deliver rather than what they promise. Accurate inventory is a process question first.
It is also worth checking that units of measure are consistent. If sales are recorded in single bottles and purchases in cartons of twelve, every calculation must convert correctly, or the reorder point will be wildly off.
Finally, agree who may change reorder settings. If any user can edit a reorder point or a lead time, the settings drift as people adjust them to silence alerts. Give that permission to the purchasing manager or planner, log every change, and review the settings for A items alongside the monthly recalculation.
From firefighting to routine
A clear reorder point for each important item, kept current and backed by alerts that reach the right buyer, turns stock control from weekly firefighting into a calm daily routine. Buyers spend less time chasing shortages and more time negotiating with suppliers, and slow stock stops piling up because nobody needs to overbuy to feel safe.
Our Intelligent Automation service builds automated stock alerts, reorder workflows and inventory reporting on top of your ERP, following the KEMLAT Method principle of automating only once the underlying process and data are sound.



