Chain Flow Replen / Intelligent replenishment
Chain Flow Replen helps distributors turn sales history, stock cover and supply constraints into more considered purchase recommendations. See where cover needs attention, project what demand may do next and decide what to order with the full picture in view.
Built for the realities of distribution in South Africa.
Too much stock
Working capital sits on shelves while carrying costs and waste grow.
Too little stock
Stockouts put sales and customer relationships at risk.
A moving target
Static reorder points struggle to reflect changing demand and supplier realities.
From signal to decision
The question is not simply “how much sold?” It is how today's stock compares with your cover model, what demand may look like next and what purchasing constraints mean for the final quantity.
01 / Stock model review
Actual Cover Days measures how long current stock is expected to last at real sales velocity. Chain Flow Replen compares it with the item's model cover: more than 30% above prompts a reduce-cover suggestion; more than 30% below prompts an increase-cover suggestion. Within the acceptable range, no change is suggested.
Each suggestion includes a recommended value and reasoning.
02 / Sales trend analysis
Review total units sold over a selected period, average daily units (ADU) across the full period, ADU on selling days and a seven-day projection. Apply a projection factor to explore a change in demand before it reaches the purchase order.
Look beyond a single sales average before committing stock.
03 / Order recommendations
Work from model cover days, safety cover and supplier lead time, then account for promotional uplift and minimum order quantity (MOQ). Negative recommendations are floored at zero; quantities below the minimum order are rounded up.
A purchase quantity grounded in the rules you actually buy by.
Demand, without the guesswork
A product that sells steadily and one that moves in bursts can have the same total sales. Looking at both calendar-day demand and selling-day demand helps your team see that difference. A projection factor makes it possible to test an expected uplift instead of treating yesterday's rate as tomorrow's certainty.
A simple projection
10 units per day + 25% projected demand = 12.5 units per day
That equates to 87.5 units over seven days. An illustration of the projection factor, not a forecast guarantee.
The four signals
A recommendation with the right inputs
Demand is only one side of purchasing. Your supplier's delivery window, the buffer you need and the minimum you can actually buy all shape the decision. Chain Flow Replen brings those considerations into the recommendation, so the output is useful for the way a distributor operates.
The model is a decision aid, not a promise that demand or delivery will unfold exactly as projected. Your team can review recommendations alongside supplier and commercial context.
Talk through your ordering rules →Your target days of stock, defined per item. The example model uses a 30-day default.
Extra days of cover for unexpected demand. The example model uses a 7-day default.
Supplier delivery time measured in days. The example model uses a 7-day default.
Simulate promotional uplift; then check the recommended quantity against the minimum order quantity.
For South African distributors
Serving distribution teams across South Africa, Chain Software Solutions understands that purchasing decisions have consequences beyond the spreadsheet: cash committed to stock, customers waiting on availability and suppliers working to their own lead times and order minimums.
Whether your operation supports one distribution centre or replenishment planning across multiple locations, start with the stock, sales and supplier rules you have today. We can discuss how Chain Flow Replen fits your existing process.
Where it helps
Prioritise the items whose actual cover has drifted from plan, and review a recommendation before placing an order.
Compare demand signals, cover targets and projected uplift without losing sight of the buffer needed for uncertainty.
Give teams a clearer basis for the trade-off between excess inventory and missed sales.
The wider Chain offering
Replenishment is one part of a broader operation. Explore the other Chain Software Solutions offerings when your needs extend beyond purchase planning.
Companion platform
Warehouse management from receiving and put-away through inventory control, fulfilment and dispatch. Explore the operational side of your supply chain.
Business applications
Learn about connected sales, inventory and accounting apps through Chain Software Solutions' separate Odoo offering in New Brunswick. Odoo is not a Chain Flow Replen feature.
Common questions
Every distributor has different demand patterns and purchasing constraints. These are useful starting points for a conversation about your own replenishment process.
It uses Actual Cover Days, based on stock and real sales velocity, as the primary comparison with model cover. A difference of more than 30% above or below the model prompts a reduce- or increase-cover suggestion; values in range require no change.
Yes. A promotional factor can simulate demand uplift. For example, a 15% promotion multiplies base average daily units by 1.15.
The final recommendation has a zero floor, so a negative quantity becomes zero. An order quantity below the applicable minimum order quantity is rounded up to meet that minimum.
No. Chain Flow Replen is focused on replenishment decisions. Chain WMS addresses warehouse operations; Odoo is a separate business application offering.
Let's talk replenishment
Tell us how you currently review cover, anticipate demand and place supplier orders. We can discuss where Chain Flow Replen may help.