Español
English
Twitter
LinkedIn
YouTube
  • NEO code®
  • SOLUTIONS
    • Improve assortment
    • Improve search engine
    • Improve product data
    • Consultancy
  • PRICES
  • ABOUT US
    • About Us
    • Team
    • Blog
    • Partners
    • Contact
BLOG-NEO - Sales vs Demand

Stock management, difference between historical sales and demand

22 de May de 2023adminfactorydataNEO

Most ERPs on the market have modules for managing stock levels and generating purchase orders. In addition, some of these ERPs use historical sales data to be able to estimate the sales that we will have in the future and thus more precisely adjust our stock needs.

These functionalities are fantastic and totally necessary for the optimal functioning of our companies, both from the financial point of view and the level of customer service.

But, all these stock level management modules confuse the term “sale” and the term “demand”, that is, when they say that they adjust stock levels based on the “demand” of the market, they are referring to that adjust stock levels based on historical “sales” and not on the actual demand that exists in the market.

But, isn’t historical demand and sales the same? We can say that for many products, demand and sales are equal, but not always!

sales vs demands

Let’s look at some situations where demand and sales do not match:

  1. Market demand is much higher than what our sales reflect. When it happens that we sell much less than the demand? The main reasons are that there are products that do not have a competitive price or because when they ask us we do not have them in stock, in both cases they ask us for them but we do not sell them.

  2. Market demand is lower than what our sales reflect. This is difficult for it to happen, because the normal thing is that if we sell some products it is because the market needs them. But sometimes, our customers replenish out of inertia or sometimes they ask for more than they really need. In these cases we are inflating our stock unnecessarily.

  3. There is demand in the market but we do not have sales. This happens for all the products that we do not have in our warehouse and that instead our clients look for. In these cases we should analyze, depending on the existing level of demand, whether or not these products should be incorporated into our range of products.

As we can see, there are various situations where our historical sales information does not correctly reflect the reality of the market.

In addition, this mismatch is much more problematic if we take into account that today, the majority of inquiries made by customers are from webshops, with which the entire inquiry process happens transparently without our realizing what actually happens with respect to real demand.

Casos de uso-E-commerce

At Factory Data we have a unique system in the market for the analysis of the demand for automotive parts that allows us to complement and improve the stock management modules, combining in decision making: the sales history and the real market demand.

 

By Joan Cabós
CEO & founder

Tags: Automotive aftermarket parts, Market demand, NEO, sales/demand

Related Articles

Product of the year 2021

30 de December de 2021adminfactorydata

Data interoperability

18 de April de 2023adminfactorydata

Impact of COVID-19 on automotive parts aftermarket demand (Updating I)

19 de May de 2020adminfactorydata
  • English
    • Español

Recent Posts

  • Real-time strategies to minimize lost sales
  • Your potential sales
  • GAPs discovery
  • Products of the year 2024
  • Lost sales

Recent Comments

    Archives

    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • November 2023
    • October 2023
    • September 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • June 2022
    • May 2022
    • March 2022
    • February 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • July 2020
    • May 2020
    • April 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • June 2019
    • May 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • July 2018
    • May 2018
    • April 2018
    • March 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017

    Categories

    • Factory Data
    • NEO
    • PFcode
    • Web Services

    SOLUTIONS

    • Improve assortment
    • Improve search engine
    • Improve product data

    PRICES

    ABOUT US

    • About us
    • Team
    • Blog
    • Contact
    • Partners

    Subscribe to our Newsletter!

    @2025 Factory Data. All rights reserved    |    Notice of Privacy  |  Terms of use