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Operations Operations · Tafkiro Module

Supply Chain Planning.

Demand planning, sales and operations planning (S&OP), supply network optimization, and DDMRP — the planning layer that connects customer demand to production, procurement, and distribution in one forward-looking model.

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Operations module
Supply Chain Planning
12
Key features
3
AI capabilities
Features

What Supply Chain Planning covers.

12 capabilities across 4 functional areas — all on the same database, sharing one record for every transaction, customer, and vendor.

Demand Planning
4 capabilities
Statistical demand forecasting
Forecast models run against 3+ years of sales history using moving average, exponential smoothing, and trend-seasonal decomposition. Model fit auto-selected per SKU based on historical accuracy.
Collaborative forecast input
Sales team inputs promotional plans, key account commits, and market intelligence directly into the demand plan. Statistical baseline and sales overlay visible side by side; consensus agreed in one screen.
New product introduction planning
Life-cycle curve, analogue product comparison, and marketing input combine to generate a demand estimate for products with no history. NPI demand flows directly to procurement and production planning.
Demand sensing
Short-horizon demand signal (0–4 weeks) updated daily from POS sell-through, customer order call-offs, and distribution centre withdrawals. Sense replaces statistical forecast in the near term.
S&OP
3 capabilities
Monthly S&OP cycle management
Structured S&OP process: demand review, supply review, pre-S&OP, and executive S&OP meeting supported by system-generated data packs. Meeting minutes and decisions recorded per cycle.
Supply capacity model
Machine capacity, labour availability, and supplier capacity constraints loaded into the supply model. Unconstrained demand compared against constrained supply; gaps surface as supply risks with resolution options.
Financial reconciliation
Agreed S&OP plan translated to revenue, cost of goods, and gross margin projection. Finance sees the financial consequence of the operations plan before it executes — not after the quarter ends.
Supply Network
3 capabilities
Multi-echelon replenishment
Inventory replenishment logic across distribution centres, regional warehouses, and factory stocks simultaneously. Target stock levels driven by service level, lead time, and demand variability — not static min/max.
Network scenario modeling
Model the impact of adding or removing a distribution node, changing a supplier, or shifting production location. Cost-to-serve analysis across scenarios before committing to a network change.
DDMRP buffer management
Demand Driven MRP buffers configured at strategic decoupling points. Buffer status by zone (green/yellow/red) alerts replenishment need before a stockout — not by a fixed reorder point.
Analytics
2 capabilities
Forecast accuracy tracking
MAPE, bias, and WMAPE tracked per SKU, product family, and planning horizon. Accuracy trends visible by period; root cause analysis for systematic over or under-forecast by segment.
Inventory health dashboard
Days-on-hand, stock cover, and stockout risk by location and SKU updated daily. Dead stock, slow-mover, and excess stock ranked by value; disposition recommendations attached.
Tafkiro AI

How AI works inside Supply Chain Planning.

Every AI capability runs continuously in the background. Outputs surface inside your normal workflow — approvals, queues, alerts — where your team already works. Nothing to open, nothing to trigger.

/ 01
AI demand forecasting
Runs continuously across all transactions in this module.
/ 02
Supply disruption prediction
Runs continuously across all transactions in this module.
/ 03
Inventory optimization
Rebalances stock across outlets to match local demand without overstock accumulating at any single location. Transfer suggestions fire before stockouts, not after.
Example · Live output
Move 80 units SKU-2241: Delhi-01 → Bangalore-03 — prevent overstock + cover demand
Same platform

Modules that integrate with Supply Chain.

Every module shares one database. Data posted in Supply Chain Planning is immediately visible to these modules — no sync, no API bridge, no reconciliation.

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