Purchasing and Inventory Management Notes

Purchasing and Inventory Management: Key Concepts

  • Relationship between purchasing and inventory

    • Purchasing and inventory management go hand in hand. If you are going to sell, you must buy inventory; you can’t sell out of an empty basket.
    • Inventory is an investment and an asset that enables revenue generation.
  • How significant is inventory?

    • Inventory ties up a large share of dollars in a pharmacy: literature places it roughly between
      0.680.68 to 0.750.75 of every dollar in cost of goods sold (COGS) or inventory value; some sources say as low as 0.680.68 or as high as 0.750.75 of the dollar. In practice, it’s often described as about two-thirds to three-fourths of the expense base in a pharmacy.
    • This underscores inventory as a major investment and a key driver of profitability.
  • Inventory accounting and balance sheets

    • Inventory is an asset and is reported on the balance sheet, not the income statement.
    • It represents the investment in goods that are intended for sale to customers.
  • Role of technology

    • Pharmacy software (and wholesaler software) can assist in determining inventory levels and management.
    • Technology supports operations but does not replace knowledge and skill; users must learn and leverage the tools effectively.
    • Industry example: big wholesalers offer integrated software and inventory management to help pharmacies maintain appropriate stock levels.
  • Real-world perspective on technology and business risk

    • Technology supports processes but does not guarantee success; poor implementation or lack of understanding can still lead to failure—customer service and availability issues matter as much as tools.
    • Industry dynamics include price competition and service quality; losing inventory availability or customer service can sink a business.
  • Important exam focus (application-oriented)

    • Expect questions that require applying concepts to determine optimal purchasing/inventory decisions, rather than pure memorization.
  • Focus on variables you should learn and remember

    • Inventory management is influenced by product mix, supplier terms, demand, lead times, carrying costs, and service level requirements.
  • The cost of inventory and its impact on profits

    • Given a constant sales level, profits can potentially change by about 20% for every 1% change in COGS. This is a crucial rule of thumb for understanding the leverage that purchasing costs exert on bottom-line performance.
    • Simple illustrative example (from the lecture):
    • Total sales:
      extRx=3,800,000,extnonRx=325,000,ext{Rx}=3{,}800{,}000, ext{ nonRx}=325{,}000,
      extTotalSales=4,000,000.ext{Total Sales}=4{,}000{,}000.
    • COGS: 3,225,000.3{,}225{,}000.
    • If COGS decreases by 1%, net profit rises by about 20% (holding other operating expenses constant). Using a baseline net profit example (approximately 95,94095{,}940), a 1% COGS decrease could push net profit to about 115{,}000 ext{ (roughly }$115{,}128 ext{).}
    • The key takeaway: even small improvements in cost efficiency can produce large changes in profitability when sales are fixed.
  • Purchasing objectives

    • Obtain the right products, in the right quantity, at the right time, and at the right price from the right vendors.
    • Right products and right quantity help ensure fast turnover and customer satisfaction.
  • Inventory turnover ratio (conceptual)

    • Inventory turnover helps assess how quickly inventory is sold and replenished.
    • Interpretation:
    • High turnover: lower investment in inventory, faster cash conversion, but risk of stockouts.
    • Low turnover: excess inventory, higher carrying costs, potential obsolescence.
    • Formula (standard):
      extInventoryTurnover=extCOGSextAverageInventory.ext{Inventory Turnover} = \frac{ ext{COGS}}{ ext{Average Inventory}}.
    • Also common: using sales instead of COGS, but COGS-based turnover is standard for inventory health.
  • Inventory mix: breadth and depth

    • Product assortment equals breadth plus depth.
    • Breadth: number of product lines/categories offered.
    • Depth: number of different SKUs within a product line.
    • Right product mix requires balancing breadth and depth to meet customer needs while controlling costs.
  • Product line length and depth examples

    • Example product lines: antacids, toothpaste, antibiotics, shampoos, etc.
    • Depth decisions: within toothpaste, how many brands and flavors to stock; within antacids, how many brand-name options and formulations.
    • Deeper assortment increases revenue potential but raises carrying costs, space, and labor for procurement and management.
  • Meeting customer expectations: quality and price

    • Customer choice is driven by a mix of price and quality; some customers prioritize price, others quality.
    • Non-compensatory preference: customers may demand quality even if the price is higher; reducing quality to cut price is not always acceptable.
  • Market research and understanding the target market

    • Understand who lives in the market (e.g., using ZIP-code data) to tailor the assortment.
    • Research methods include observations, scanning data from registers, media reports, drug utilization reviews, and insurance claims data.
    • Knowledge of prescribing habits of local physicians helps forecast demand for certain medications.
    • Pharmacy managers may obtain market data from various sources; use this information to select the right product mix.
  • Customer insight and market research tools mentioned in class

    • Personal observations (e.g., Portland door-to-door/ street-level observation to gauge foot traffic).
    • Scanning/point-of-sale data to track sales and inventory movement.
    • Media sources and press coverage to identify promotions and consumer signals.
    • Drug utilization reviews and claims data to understand usage patterns.
    • Knowledge of local physicians and specialties to anticipate prescribing patterns.
    • Market data by zip code and local demographics to gauge demand.
  • The product mix and the concept of breadth plus depth in practice

    • A strong product mix requires selecting a few areas to go deep (specialties) while maintaining reasonable breadth to cover key needs.
    • The balance reduces the risk of over-concentration in a single category while ensuring core needs are met.
  • The role of marketing research and merchandising decisions

    • Marketing research informs which products to stock and how to position them.
    • Merchandising decisions shape product visibility and accessibility to customers.
  • Key merchandising concepts and their rationale

    • Planogram: a merchandising blueprint that defines stock levels, product positions, and the number of facings.
    • Shelf space and shelf facing: prime real estate that influences attention and sales; self shelf space and shelf facing are key factors.
    • Best shelf position: between waist and eye level to maximize visibility and accessibility.
    • Positioning near a leading seller increases sales due to comparison effects.
    • Shelf signs and promotions (e.g., buy-one-get-one-free) influence purchasing decisions.
    • Clustering similar products enhances visibility and choice ease for customers.
    • Private label or store brands placed next to leading brands can drive substitutions.
  • International and design perspectives on store layout

    • Merchandising design is sophisticated and market-specific (examples include Italian design firms creating pharmacy layouts). Layout and lighting reflect market preferences and customer behavior.
    • Space is expensive; optimizing real estate (shelf height, width, and proximity) affects sales and profits.
  • Inventory management methods

    • Three popular methods:
      1) Visual (spot checks, informal): quick and inexpensive but prone to errors.
      2) Periodic inventory: checks at set intervals; analyzes a single point in time.
      3) Continuous (perpetual) inventory: perpetual tracking via scanning; most effective but requires investment.
    • Perpetual inventory is used by many large retailers (e.g., Walmart) to keep real-time stock data and trigger replenishment automatically.
  • The stock depth formula and its components

    • Stock depth (order quantity and timing) is influenced by:
    • Review time: time between stock checks.
    • Lead time: time between placing an order and receiving it.
    • Average demand: average usage over a period (seasonality considered).
    • Safety stock: buffer to cover demand variability and supply disruption.
    • Stock depth equation (conceptual):
      Stock Depth=(extReviewime+extLeadime)imesextAverageextDemand+extSafetyextStock.Stock\,Depth = ( ext{Review ime} + ext{Lead ime}) imes ext{Average ext{Demand}} + ext{Safety ext{Stock}}.
    • The point is to balance order timing with demand and risk buffers.
  • Just-in-time (JIT) vs traditional stocking

    • JIT aims to order and receive goods as needed to meet demand, minimizing on-hand inventory.
    • Pros: lowers carrying costs; cons: higher risk of stockouts and vulnerability to supply disruption.
    • Example cited: Dell’s model of placing an order and initiating production/fulfillment automatically when the customer places an order; advanced coordination reduces inventory carrying but can impact availability during supply shocks.
  • Right price dynamics and vendor negotiations

    • Right price depends on timing, vendor willingness, and inventory position.
    • Discounts and payment terms can alter total cost (e.g., cash discounts, volume discounts, and promotional terms).
    • Product bundling: trading one product for another to improve overall sell-through.
    • Minimum purchase requirements: suppliers may require a minimum order value to qualify for discounts.
    • Prompt payment discounts: paying quickly can yield better terms.
    • Word of caution: excessive discounting can erode perceived value and reduce urgency to buy now.
  • The right vendor and return policies

    • Vendor selection factors include return goods policies, financing terms, marketing support, and co-op advertising.
    • A vendor with favorable return policies reduces risk of unsold stock and obsolescence.
  • The propensity to use data to optimize procurement

    • Procurement decisions should consider interdependencies among product choice, quantity, timing, price, and vendor.
    • The key is to optimize multiple variables simultaneously rather than optimizing in isolation.
  • Historical and economic context in stock management

    • Ford, Harris and the 1913 framework (economic order quantity, EOQ) is historically referenced as a foundational model for order quantities.
    • While the original math is older, the underlying concepts (demand, ordering cost, holding cost) remain relevant for understanding how much to order and how much to keep on hand.
    • Key EOQ-style variables in the historical model (for reference):
      D=extannualdemandD = ext{annual demand}
      S=extreplenishment/ordercostS = ext{replenishment/order cost}
      H=extholdingcostperunitperyearH = ext{holding cost per unit per year}
      $$EOQ = \