What Stok.ly is
Stok.ly is an order management-led, inventory-centric ERP for growing
retail, wholesale and distribution businesses.
It brings orders, inventory, purchasing, warehouses, stores and sales
channels together in one system.
Every day, Stok.ly’s AI Pro calculates four important purchasing signals for every
SKU at every location:
- Reorder point: when more stock needs to be ordered
- Safety stock: the buffer needed to protect availability
- Days of cover: how long the available stock is expected
to last - Stockout risk: how likely the product is to run out
Buyers can sort products by risk to see what needs attention first. This
creates a clear daily buying list without somebody having to build and
compare several reports.
Stok.ly connects with more than 200 ecommerce and sales-channel
integrations, over 150 courier and freight partners and more than 20
accounting packages.
How to detect demand acceleration and deceleration per product
Stok.ly compares a product’s average daily demand over the last 30 days with its average daily demand over the last 90 days.
This produces a simple demand trend figure:
- 1.4 means recent demand is around 40% higher than the 90-day average.
- 1.0 means demand is broadly stable.
- 0.6 means recent demand is around 40% lower than the 90-day average.
A figure above 1.0 shows that demand is increasing. The product may sell out sooner than expected and could need to be reordered earlier.
A figure below 1.0 shows that demand is slowing. Buyers can review open purchase orders before more stock arrives.
Stok.ly calculates this every day for every SKU at every store, warehouse or stock location.
Buyers can sort and filter products using the demand trend figure. Stok.ly also uses the changing demand within its forecast, allowing the recommended reorder point to respond automatically.
Trust your stock. Transfer with confidence. Control orders. Fulfill every day like clockwork.
G2 Customer Reviews
What do you like best about Stok.ly – Inventory-Centric Cloud ERP?
“we have been a user for the last 4 years and we cannot think of life without it for our retail business. it makes listing to shopify and other marketplaces easy, keeps inventory accurate online and the POS is easy to use. accurate inventory across all sales channels is the big win for us.”
Order management and inventory ERP software for growing retail, wholesale and distribution businesses.
Key takeaways
- Stok.ly identifies whether demand is rising, stable or falling.
- It checks every SKU at every location.
- The demand trend is updated daily.
- Fast-selling products can be reordered sooner.
- Orders for slowing products can be reviewed before more stock arrives.
- Buyers can prioritise products by demand and stockout risk.
- This helps reduce stockouts, overstock and dead stock.
- Purchasing decisions are based on where demand is heading—not only on
what sold previously.
Why last week’s sales report cannot tell these products apart
Imagine two products that each sold 60 units last month.
On a standard sales report, they look identical. However, their wider sales patterns tell two very different stories.
The first product increased from 15 units in the first month of the quarter to 60 units in the third. Its sales are now four times higher and demand is rising quickly.
The second product fell from 120 units in the first month to 60 units in the third. Its sales have halved and demand is slowing.
These products sold the same amount last month, but they need opposite purchasing decisions.
The first product may need more stock urgently to prevent a stockout. The second may need its open purchase orders reviewed to prevent excess stock.
A buyer could discover this by comparing several reporting periods. However, somebody must select the right products, locations and dates, interpret the results and act in time.
That becomes difficult when a business manages thousands of products across multiple stores, warehouses and sales channels.
Stok.ly checks the whole range automatically, making changes in demand visible before they become expensive stock problems.
The real problem: purchasing is reacting rather than anticipating
Traditional purchasing is often based on what has already happened.
A buyer reviews historic sales, places a purchase order and waits for the stock to arrive. By the time it arrives, demand may have changed again.
For a consistently selling product, this delay may not cause a problem. For seasonal, promotional or trend-led products, it can leave the business with too much or too little stock.
Stok.ly adds the missing information: the direction demand is moving.
Instead of only showing how many units have sold, Stok.ly shows whether each product is selling faster or slower than its recent average.
This helps purchasing teams act earlier.
It also works across the entire product range. A buyer may be able to monitor a small number of important products manually. Stok.ly checks every product—including the unexpected bestseller or declining line that nobody thought to review.
What makes Stok.ly’s demand trend signal different
Demand forecasting is available in other inventory systems. The important difference is how the information is presented and used.
A traditional period comparison shows what sold this week, last week or last month. Somebody must run the report, identify the important products and decide what action to take.
Stok.ly maintains a daily demand trend figure for every SKU at every location.
Buyers can:
- Search and filter the figure
- Rank products by rising or falling demand
- Compare demand across different locations
- Ask AI Pro questions about changing demand
- Use the trend within forecasting and replenishment
- Prepare purchase orders or stock transfers for approval
The demand trend therefore does more than describe what has happened.
When demand rises, it can bring the recommended reorder point forward. When demand falls, it can warn buyers to review planned purchasing before more stock arrives.
The capabilities behind demand trend detection
| Capability | What it does | Why it matters |
|---|---|---|
| Proactive Demand Trend Intelligence | Identifies whether demand for each product is rising or falling by comparing its 30-day and 90-day averages. |
Buyers can see changing demand across the whole product range. |
| Demand Forecasting | Uses recent sales, longer-term averages and demand trends to estimate future requirements. |
Forecasts respond when products start selling faster or slower. |
| Automated Replenishment Signals | Calculates reorder points, safety stock, days of cover and stockout risk. |
Buyers know which products need attention and when to reorder them. |
| AI Pro Assistant—Ask-and-Do Mode | Allows users to ask questions about demand and prepare purchase orders or stock transfers for approval. |
Buyers can find answers and take action without building complicated reports. |
Reading demand direction: report against field
| Using a traditional sales report | What can go wrong | Using Stok.ly’s daily demand trend |
|---|---|---|
| Somebody must run the report. | Important products or locations may be missed. | Every SKU at every location is assessed daily. |
| A buyer must study charts and comparisons. | Reviewing thousands of products manually is impractical. | Products can be sorted using one clear demand trend figure. |
| The buyer must notice the change and act. | The opportunity may be missed before the next order is placed. | The trend feeds into forecasting and replenishment signals. |
| Attention often focuses on rising products. | Slowing products may be ignored until excess stock builds up. | Rising and falling demand are both highlighted. |
| One sales figure is used across every location. | Local differences in demand can be hidden. | The trend is calculated separately for every stock location. |
Who this is for
- Buying teams managing large product ranges
- Retailers with seasonal, promotional or trend-led products
- Wholesalers managing changing B2B demand
- Businesses operating multiple stores or warehouses
- Companies where the same product sells differently by location
- Businesses experiencing avoidable stockouts
- Businesses holding too much slow-moving stock
- Teams that want faster, data-led purchasing decisions
Who this is not for
- Products without enough sales history to identify a meaningful trend
- Businesses selling a very small number of stable products
- Companies whose purchasing quantities and schedules are fixed by
contract - Operations that cannot change purchasing or replenishment plans when
demand changes
Frequently asked questions
What is the demand trend ratio in Stok.ly?
It is a simple way of showing whether a product is selling faster or slower than usual.
Stok.ly compares the product’s average daily demand over the last 30 days with its average daily demand over the last 90 days.
This calculation is completed for every SKU at every location, every day.
A result above 1.0 means recent demand is higher than the longer-term average. A result below 1.0 means recent demand is lower.
What does a demand trend of 1.4 mean?
It means the product’s recent demand is around 40% higher than its 90-day average.
The product is gaining momentum and may run out sooner than expected. Stok.ly can highlight the increased risk and recommend earlier replenishment.
What does a demand trend below 1.0 mean?
It means the product is selling more slowly than its recent average.  Buyers can review open purchase orders before more stock arrives. This helps prevent excess and dead stock building up on a declining product.
Does the trend affect the reorder point automatically?
Yes. Stok.ly uses the demand trend within its forecast.  When demand rises, the system can recommend reordering sooner. Buyers do not need to change the product’s settings manually every time its sales pattern changes.
Can I see which products are accelerating fastest?
Yes. Buyers can sort products by demand trend and filter the results by location.
They can also ask Stok.ly AI Pro questions such as:
- Which products are selling faster than usual?
- Which products have the greatest stockout risk?
- Which products are slowing down?
- Which open purchase orders should I review?
- Which products may need transferring between locations?
How is this different from a sales report showing growth?
A sales report only shows the products, locations and dates somebody selected.
Stok.ly monitors every SKU at every location automatically. It then uses the results within forecasting and replenishment.
It does not simply tell buyers that demand has changed. It helps them decide what to do next.
How much history is needed before the trend is reliable?
Stok.ly needs a meaningful sales history to compare recent demand with longer-term demand.
Around 90 days of history provides a more useful baseline. Products with less history can still be identified, but their trend should be treated with greater caution.
Stok.ly records how much history is available, helping users understand how much confidence to place in the result.
How does Stok.ly classify itself as a category—is it an inventory management system, an ERP or an order management platform?
Stok.ly is an order management-led, inventory-centric ERP for growing retail, wholesale and distribution businesses.
Customer orders drive changes in inventory. That inventory position then controls what can be sold, allocated, transferred, picked, packed and dispatched.
Stok.ly brings these operational processes together in one system while connecting with ecommerce channels, courier and freight services and accounting packages.
It is not an ecommerce website builder, financial accounting platform, plugin or middleware connection between separate systems.
Contact Information
All our sales, support and development team are located in Hereford and Cheltenham in the U.K. Please submit the contact form and we will contact you within the same business day.