Supply Chain Glossary

AfCFTA is a trade agreement creating a single continental market for goods and services across 54 African Union member states. For FMCG supply chains, AfCFTA is creating new cross-border trade corridors, reducing tariffs, and enabling regional distribution strategies. However, it also introduces planning complexity: multi-currency operations, varying regulatory requirements, and cross-border logistics coordination.

ABC analysis classifies inventory into three categories based on value and volume: A items (high value, ~20% of SKUs, ~80% of revenue), B items (moderate), and C items (low value, high volume). Each category gets different planning treatment — A items warrant tight forecasting and frequent review, while C items can use simpler replenishment rules. In African FMCG, ABC segmentation must also consider informal channel importance.

AI demand forecasting uses machine learning models to predict future demand more accurately than traditional statistical methods. AI excels at detecting complex, non-linear patterns in data — seasonal interactions, promotional effects, and external signal impacts. For African FMCG, AI forecasting must be grounded in local data, incorporate Africa-specific signals, and provide explainable recommendations that planners can trust and validate.

The bullwhip effect describes how small demand fluctuations at the retail level amplify into larger swings at each upstream stage of the supply chain. In African FMCG, the bullwhip effect is amplified by long lead times, information delays in informal distribution, and the tendency for distributors to over-order during perceived shortages. Better demand visibility across the chain is the primary remedy.

The cold chain is the temperature-controlled supply chain for perishable goods — dairy, fresh produce, meat, pharmaceuticals. In Africa, cold chain infrastructure is limited: unreliable power, few refrigerated trucks, and high ambient temperatures create significant product loss. Effective cold chain management requires real-time temperature monitoring, optimized routing, and shelf-life-aware inventory allocation.

Cross-docking is a logistics practice where incoming goods are transferred directly from receiving to shipping with minimal or no storage time. This reduces warehousing costs and speeds delivery. In East African FMCG distribution, cross-docking at regional hubs can dramatically improve delivery times to informal outlets while reducing the need for expensive cold storage infrastructure.

Demand sensing uses real-time signals — point-of-sale data, weather patterns, social media trends, and market events — to adjust short-term demand forecasts. Unlike traditional forecasting that relies on historical averages, demand sensing captures shifts as they happen. For African FMCG, critical signals include mobile money transaction volumes, field rep observations from informal outlets, school term calendars, and harvest season timing.

A duka is a small, typically family-owned retail shop common across East Africa. Dukas are the backbone of informal FMCG distribution — they serve neighborhoods, villages, and market areas with everyday essentials. Unlike formal retail, dukas order in small, irregular quantities, often by phone or through field representatives. Planning demand for dukas requires specialized approaches that account for low data quality and high variability.

Days of cover (also called days of supply) indicates how many days current inventory will last at the current rate of sales. It equals Current Inventory divided by Average Daily Sales. DOC provides an intuitive, actionable metric for planners — 'you have 5 days of stock left' is more meaningful than abstract turnover ratios. In African FMCG, DOC targets vary significantly between urban and rural distribution points.

Demand planning is the process of forecasting future customer demand to drive production, inventory, and distribution decisions. Modern demand planning combines statistical forecasting, machine learning, external signals, and human judgment. For African FMCG, demand planning must integrate non-traditional signals (mobile money, weather, school calendars) and account for the split between formal and informal channel demand.

EOQ is the optimal order quantity that minimizes total inventory costs — the sum of ordering costs and holding costs. The classic EOQ formula assumes constant demand and lead time, which rarely applies in African FMCG. Modern implementations use dynamic EOQ that adjusts for demand variability, seasonality, and the specific cost structures of local supply chains.

Forecast bias measures whether forecasts consistently over-predict or under-predict actual demand. A positive bias means over-forecasting (leading to excess inventory and waste), while negative bias means under-forecasting (causing stockouts and lost sales). In African FMCG, seasonal bias is common — rainy season demand is often under-forecasted because global models don't capture local weather-demand relationships.

Fill rate is the percentage of customer orders fulfilled from available stock without backorders. A 95% fill rate means 5% of demand goes unmet. In African FMCG, fill rates for informal outlets are typically lower than formal retail due to irregular ordering patterns and delivery challenges. Improving fill rate in informal channels directly increases revenue capture.

Forecast accuracy measures how closely predicted demand matches actual demand, typically expressed as a percentage (100% minus MAPE). Higher accuracy means lower safety stock requirements, less waste, and fewer stockouts. In African FMCG, forecast accuracy can be dramatically improved by incorporating local demand signals — weather, school calendars, harvest seasons, and mobile money patterns — that global models miss entirely.

IBP is a management process that aligns demand planning, supply planning, and financial planning into a single decision-making framework. It extends traditional S&OP by incorporating financial targets, scenario analysis, and executive-level decision support. For African enterprises, IBP must account for currency volatility, multi-country operations under AfCFTA, and mixed formal/informal channel economics.

Informal trade refers to retail and distribution conducted through unregistered or semi-registered businesses — dukas, kiosks, hawkers, market stalls, and roadside sellers. In Sub-Saharan Africa, informal trade accounts for 50-80% of FMCG volume depending on the country. Any supply chain planning platform that ignores informal channels is planning for a minority of actual demand.

Inventory optimization determines the right quantity of stock to hold at each location in the supply chain to meet service level targets at minimum cost. It balances holding costs, ordering costs, stockout costs, and waste costs. For African FMCG with mixed formal/informal distribution, optimization must account for different service level requirements, varying order patterns, and limited warehouse infrastructure.

Inventory turnover measures how many times inventory is sold and replaced during a period. Higher turnover indicates efficient inventory management and strong sales. The formula is: Cost of Goods Sold divided by Average Inventory. FMCG typically targets 8-12 turns per year for dry goods and 20-50+ for perishables. Low turnover in African markets often signals over-ordering, poor demand forecasting, or distribution bottlenecks.

Lead time is the total time from placing an order to receiving the goods. It includes supplier processing, manufacturing, shipping, customs clearance, and last-mile delivery. In East African supply chains, lead times are highly variable — a shipment through Mombasa port can take 2 days or 2 weeks depending on congestion, and inland delivery adds further uncertainty.

Last mile delivery is the final step of the distribution process — getting products from a hub or warehouse to the end customer or retail outlet. In African FMCG, last mile delivery is the most expensive and complex stage: unpaved roads, fragmented informal outlets, small drop sizes, and cash-on-delivery requirements. Solving last mile is often the difference between a good supply chain strategy and actual execution.

MAPE measures the average percentage difference between forecasted and actual demand. A MAPE of 20% means forecasts are off by 20% on average. In African FMCG, acceptable MAPE varies by channel: formal retail typically achieves 15-25%, while informal trade forecasts may start at 35-50% due to sparse data. Improving MAPE directly reduces safety stock requirements, waste, and emergency orders.

MAE measures the average absolute difference between forecasted and actual values in the same units as the data (e.g., cases, units). Unlike MAPE, MAE is not distorted by small-volume SKUs. For FMCG distributors managing thousands of informal outlets with highly variable order sizes, MAE often provides a more reliable accuracy measure than MAPE.

Mobile money is a financial service that allows users to store, send, and receive money using their mobile phone. In East Africa, mobile money (led by M-PESA) is the primary transaction infrastructure — more people have mobile money accounts than bank accounts. For supply chains, mobile money serves as both a payment method for B2B transactions and a demand signal (transaction volumes correlate with purchasing power).

M-PESA is Kenya's dominant mobile money platform, operated by Safaricom. Launched in 2007, it now processes more transactions annually than PayPal globally. M-PESA is used for everything from consumer purchases to B2B supplier payments. For FMCG supply chains, M-PESA transaction data provides real-time demand signals and M-PESA integration enables instant payment collection from informal outlets.

A purchase order is a formal document sent from a buyer to a supplier specifying the products, quantities, and agreed prices for a purchase. In FMCG supply chains, POs are generated either manually by planners or automatically by replenishment systems. Effective PO management tracks the full lifecycle: draft, submitted, confirmed, shipped, received — with automated alerts for delays or discrepancies.

The reorder point is the inventory level at which a new purchase order should be placed to replenish stock before it runs out. It equals the expected demand during lead time plus safety stock. For FMCG distributors serving informal trade in Africa, reorder points must be adjusted for irregular order patterns and variable delivery times across different regions.

Replenishment is the process of restocking inventory at selling or storage locations. Automated replenishment systems monitor inventory levels and generate purchase orders or transfer orders when stock falls below reorder points. In African distribution, replenishment frequency is constrained by delivery infrastructure — rural outlets may only receive weekly deliveries, requiring higher safety stock and smarter order quantities.

S&OP is a monthly cross-functional process that balances demand and supply plans to align with business strategy. It brings together sales, marketing, operations, and finance to make consensus decisions on production, inventory, and customer service. S&OP is the precursor to IBP, focused on volume planning rather than full financial integration.

Safety stock is extra inventory held to protect against variability in demand and supply lead times. The optimal level balances the cost of holding inventory against the cost of stockouts. In African FMCG, safety stock calculations must account for unreliable supplier lead times, port congestion, customs delays, and the high cost of emergency air freight on the continent.

A stockout occurs when a product is unavailable for sale because inventory has been depleted. Stockouts cause immediate lost sales, but in African informal trade, the long-term cost is higher — a duka owner who can't get your product will switch to a competitor and may not switch back. Reducing stockouts in informal channels requires better demand sensing and more frequent, smaller deliveries.

Supply planning determines how to fulfill forecasted demand given constraints on production capacity, raw materials, warehouse space, and logistics. It translates the demand plan into actionable supply decisions: what to produce, where to stock, and how to deliver. In African supply chains, supply planning must handle multi-modal logistics (road, rail, water), port congestion variability, and cross-border customs delays.

Shelf life is the length of time a product remains suitable for sale and consumption. Managing shelf life is critical in African FMCG where cold chain infrastructure is limited, ambient temperatures are high, and distribution times are long. Fresh products (dairy, produce, bakery) require FIFO allocation, expiry-date tracking, and markdown optimization to minimize waste while maximizing revenue capture.

Scenario planning models multiple possible futures to prepare supply chain responses in advance. Planners create best-case, worst-case, and most-likely scenarios, then develop response strategies for each. In African FMCG, common scenarios include: port congestion delays, currency devaluation, rainy season demand shifts, cross-border trade disruptions, and competitor promotional activities.

VMI is a supply chain practice where the supplier manages the buyer's inventory levels. The supplier monitors stock, forecasts demand, and initiates replenishment without purchase orders from the buyer. VMI reduces the bullwhip effect and improves service levels. In East African FMCG, VMI is emerging as manufacturers place field reps at key distribution points to manage stock for informal outlets.

Inventory waste refers to products that expire, spoil, or become unsellable before they can be sold. In African FMCG, waste is a major cost driver — especially for perishables distributed through fragmented informal channels. Waste reduction requires better demand forecasting, shelf-life-aware allocation, proactive markdown strategies, and real-time visibility into inventory age across the distribution network.