Covers the full operating loop
Five solution groups end to end — network optimization, forecasting, inventory, ordering, automated replenishment — on one data foundation, not five disconnected systems.
SCP — One platform for every supply chain planning decision
SCP is an end-to-end suite combining DNOPS — distribution network optimization — and DRP — intelligent distribution and replenishment planning. From network design to demand forecasting, inventory management, ordering, and automated replenishment, everything runs on a single platform.
Solution detail
The five solution groups of SCP
From distribution network design, through demand forecasting, inventory management and ordering, to automated replenishment down to every point of sale — five groups running on one shared data foundation. Pick a group, or slide through them one by one below.
Distribution network optimization
DNOPS · Distribution Network Optimization System
The foundation of SCP: find the optimal locations for distribution centers so that transport cost and delivery time are both minimized. Opening or closing a warehouse becomes a decision backed by data analysis and simulation, not by gut feel.
OPTIMIZING THE DISTRIBUTION FLOW FROM SUPPLY TO CUSTOMER
Supply source→Smart allocation→Optimized network→Efficient delivery
Key benefits
Cost savings
Transport and warehousing cost across the whole network drops 15–20%.
Faster delivery
Average delivery time to customers is 25–30% shorter.
Decisions grounded in data
Closing or opening a warehouse is settled by analysis and simulation instead of experience.
Optimization results
↓15%
Transport cost
↑30%
Service coverage
99%
On-time delivery SLA
↓25–30%
Delivery time
AI & Data
From data to action — faster, and more accurate
Most systems stop at showing the numbers and leave the reasoning to you. SCP goes one step further: AI and optimization read your operational data and say what to do — today.
1
Data
Sales history, point-of-sales, inventory, lead time, promotions, seasonality — consolidated from ERP, WMS and TMS.
2
Insight
Cleans the data, handles outliers, recognizes seasonality, classifies SKU volatility and surfaces anomalies.
3
Decision
Optimization plus real business constraints produces the network design, stock levels and order quantities worth choosing.
4
Action
Order proposals and transfer orders are created automatically and pushed back into ERP/WMS for execution.
Automated forecasting
Takes in sales history, cleans the data, handles outliers, recognizes seasonality and classifies SKU volatility to produce a forecast without anyone building a model. Planners see the result and adjust it, with the reason for every adjustment kept alongside.
- Picks and blends models to suit each SKU group
- Planners keep the final say
- 15–25% more accurate than traditional methods
DRP / Supply Planning
Computes net requirements automatically, suggests pulling stock from plants, internal transfers and multi-echelon supply plans for the whole network. Any line that touches its safety threshold is flagged right on the board.
- Replenishment proposals generated automatically, with supplier and delivery date
- Calculated per branch warehouse from actual sell-through
- 80% less time spent managing orders
AI chatbot for data analysis
Upload a screenshot of a chart or an Excel file and the system reads the trend, compares groups and points out what is out of line — then proposes a concrete action. No formulas to write.
- Reads both Excel files and screenshots of charts
- Answers with the figures and the data range it analyzed
- Turns an answer straight into a replenishment proposal
1/3
The businesses running with Smartlog
Manufacturers, FMCG, distribution and logistics companies — multi-tier networks at scale, where every percent of cost is a number worth having.
Five things that make the difference
Most solutions on the market stop at digitizing a process or displaying data. Here is where SCP works differently.
Optimizes decisions, not just digitizes
Optimization and AI/ML plus the real business constraints, so the system can say which option to take rather than redraw the numbers you already have.
From alert to action
Anomalies caught in the monitoring layer pass straight to DRP to be dealt with. Detect → analyze → act stays inside one platform.
Tied to financial results
Tracks KPIs, Cost to Serve and Saving Cost, so leadership sees exactly how each supply chain decision lands on the bottom line.
Built around operations in Vietnam
Forecasting and optimization models designed around the distribution networks, demand patterns and operational swings of Vietnamese businesses.
See SCP run on your own numbers
We survey your network and real sales data, then demo it with simulation and scenarios built on those very numbers.
Book a demoWhat businesses achieve with SCP
↓0%
Logistics cost
Total logistics cost across the chain once the network is optimized.
0%
Inventory accuracy
Stock figures in the system match what is physically in the warehouse.
>0%
Service level
Service level — the share of orders fulfilled on time.
↓0%
Planning time
Shortened by automating forecasting and allocation.
↓0–30%
Average inventory
Average stock level once automated replenishment is switched on.
↓0%
Order management time
Manual handling taken out of the ordering process.
↓0%
Stockouts
Out-of-stock events at points of sale fall markedly.
+0–40%
Inventory turnover
Stock turns faster, improving cash flow and profit.
Start optimizing your supply chain today
The Smartlog team will survey your network and your sales data, then run a hands-on demo with simulation and scenarios built on those numbers.
Frequently asked questions
DNOPS is a design problem: where to put warehouses, how many tiers the network should have, whether to own or outsource. It runs on a long cycle — typically whenever the business restructures its network or opens a new market. DRP is an operating problem: given the network you have, which goods are needed, how many, where and when — run daily and weekly. Both products share one data foundation, so the DNOPS result becomes an input constraint for DRP.
Contact us now
Leave your information and we will provide a detailed consultation
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