Five Purchasing Mistakes Costing Retailers Margin and How to Fix Them
Merchandise Management System - Purchasing
Margins are tighter than ever. Consumer expectations continue to rise, supply chains remain unpredictable, and omnichannel commerce continues to evolve. Yet despite these challenges, one area consistently separates high-performing retailers from those struggling to maintain profitability: purchasing accuracy.
Purchasing is the foundation of retail margin. When retailers purchase the right products, in the right quantities, at the right time and cost, everything downstream becomes more efficient, inventory flows smoothly, stores have the right stock, customers get what they want, and markdowns shrink. When purchasing goes wrong, however, the entire operation feels the impact.
What are the five most common purchasing mistakes costing retailers margin and what are the actionable strategies for fixing them? The focus is on practical improvement, supported by smarter forecasting, unified systems, and stronger purchasing discipline.
1. Relying on Gut Feel Instead of Data-Driven Purchasing
Many retailers still depend heavily on instinct when making purchasing decisions. While buyer experience is valuable, relying on gut feel rather than data is one of the biggest sources of margin leakage.
Why this happens
Buyers lack access to real-time, trustworthy data
Reporting is fragmented across spreadsheets, emails, and legacy systems
Historical data is incomplete or outdated
Purchasing cycles are rushed, leaving no time for deeper analysis
The margin impact
Overstocking on slow sellers
Underbuying high-demand SKUs
Excess markdowns
Increased inventory carrying costs
Lost full-price sales
How to fix it
Retailers must move toward data-driven purchasing supported by:
Accurate demand forecasting
Real-time inventory visibility
Category performance analytics
Store-level purchasing insights
Seasonality and promotional trend analysis
When buyers have access to a single source of truth, they make sharper decisions, reduce risk, and protect margin. Data transforms purchasing from subjective to strategic.
2. Forecasting in Silos Instead of Across an Omnichannel View
Retail consumers do not follow tidy, predictable buying journeys. A customer will browse online, check stock in-store, purchase via mobile, and return via a different channel. Yet many retailers still forecast their channels separately.
Why this happens
Systems for e-commerce, store POS, and OMS are not integrated
Historical data is channel-specific
Performance is measured by silo rather than total business impact
Buyers focus on store allocation while digital demand grows
The margin impact
Online sells out while stores sit overstocked
Excess stock transfers inflate operational cost
Lost sales from inconsistent availability
Margin dilution due to unnecessary discounting
How to fix it
Retailers must shift from channel-led forecasting to omnichannel demand forecasting. This means integrating all demand signals into one unified forecast, including:
Online orders
Store sales
Click & Collect patterns
Ship-from-store behaviour
Marketplace activity
Social commerce demand
This creates a more accurate picture of true consumer intent. When purchasing aligns to omnichannel demand, stock flows more efficiently, markdowns reduce, and margin improves across the trading lifecycle.
3. Using Outdated or Inaccurate Supplier Lead Times
Even the best purchasing decisions fail if products do not arrive on time. Many retailers underestimate lead-time variability or rely on supplier estimates that do not reflect real performance. This is one of the most common operational blind spots.
Why this happens
Lead times are set once and never reviewed
Suppliers provide optimistic timelines
Retailers lack automated monitoring of actual receipt data
Changes in logistics or production are not communicated
The margin impact
Shortages during peak trading
Over-ordering to compensate for uncertainty
Higher safety stock levels
Last-minute air freight or expedited shipping
Poor availability leading to lost sales
How to fix it
Retailers need to make lead-time accuracy a core part of purchasing strategy. This includes:
Tracking actual lead-time performance at SKU and supplier level
Updating lead times automatically based on receipt history
Adding buffers only where proven necessary
Building supplier scorecards into purchasing decisions
Accurate lead times enable more precise ordering, reduce excess stock, and ensure products arrive exactly when needed.
4. Weak Master Data and Poor Product Setup
Retailers often underestimate the importance of clean, consistent master data. Incorrect product data, missing attributes, inconsistent pack sizes, and mismatched supplier information can disrupt purchasing before it even begins.
Why this happens
Product data is maintained across multiple systems
Vendors send incomplete or inaccurate item information
Manual spreadsheet uploads introduce errors
No centralised master data management process
The margin impact
Incorrect orders and quantities
Receiving errors in the warehouse
Store replenishment issues
Misaligned pricing and cost data
Slow time-to-market for new products
Poor master data creates hidden operational costs that quietly eat away at margin.
How to fix it
Retailers must standardise and centralise master data through:
A single master data management (MDM) solution
Automated validation checks
Standardised item setup workflows
Vendor compliance policies
Integration across POS, WMS, OMS, and purchasing systems
Clean, unified data is the backbone of accurate purchasing and margin protection.
5. Treating Purchasing as a Static Event Instead of a Lifecycle Process
Many retailers treat purchasing as a one-time activity, place an order and hope for the best. But modern retail demands continuous adjustment. Demand changes daily, especially during promotions, peak seasons, and market disruptions.
Why this happens
Buyers overwhelmed with spreadsheets and manual tasks
No real-time visibility of in-season performance
Replenishment processes are not automated
Organisations lack exception-based workflows
The margin impact
Late reaction to stockouts
Excess stock at season end
Slow-moving inventory tying up working capital
Markdowns required to clear overbuys
Missed opportunities to capture high demand
How to fix it
Purchasing must shift to a dynamic lifecycle approach, supported by:
Automated replenishment
Exception-based alerts for stock anomalies
Continuous forecasting updates
“Buy again” triggers based on real-time sales
In-season adjustments driven by demand behaviour
This agile model allows retailers to react instantly to market changes, protecting both sales and profitability.
Building a Profitable Purchasing Strategy
Margin protection begins with smarter purchasing. Retailers who invest in data-driven forecasting, strong master data foundations, omnichannel alignment, automated replenishment, and accurate supplier management outperform those who continue to rely on outdated processes.
A modern purchasing approach delivers:
Higher full-price sell-through
Better stock availability
Lower inventory holding costs
Fewer markdowns
Smoother supply-chain operations
Improved customer satisfaction
Most importantly, it ensures everything invested in inventory works harder.

