FREQUENTLY ASKED QUESTIONS
Do you have questions? We have the answers! If your question has not been answered below, please contact us at 2020RDI@stayinfront.com and we will be happy to help you.
Which product helps Consumer Goods manufacturers measure the value that is added by the sales team?
20:20 ROI View® automatically calculates the ROI of field sales operations at the most granular level. The 20:20 ROI View® dashboard highlights opportunities to improve the productivity and efficiency of field sales.
What are the root causes of On-shelf Availability (OSA) and why isn’t it improving?
The first root cause is a Distribution gap – where the store has stopped selling and the retailer’s stock control system reports no stock at store level.
Second is a ‘Stock no sales’ issue – a likely book stock error, the store has recorded no sales but the retailer’s stock control system reports that stock is available in store. Find out more here.
What is Field Sales ROI and why does it matter?
Knowing the ROI of the Field Sales Force has never been more important to ensure the optimum level of resource is allocated to ensuring perfect execution.
How is ROI typically measured and calculated in the grocery channel today?
Using 20:20 ROI View®, The Scan or EPoS (Electronic Point of Sale) data can then be used to calculate the incremental effect of specific sales actions taken in store.
How often and how long should you send your sales teams to stores?
The key point is the idea of flexibility. The retail world is constantly changing, so why would the route plan of the salesforce ever be static? Data can prove that the opportunity in any given store ebbs and flows and there is a strong argument that resource assignment should follow suit.
Does 20:20 Retail Data Insight offer Sales Consulting?
Yes, we do. We offer a fact-based consulting approach using data to develop innovative sales strategies and plans. Click here to learn more.
How long does it take for the 20:20 Retail Data Insight solution to provide a Proof of Concept (business case) using my data?
This can be done within 6 weeks of the EPoS (Scan) data being provided to us.
What kind of data do I need to be able to use 20:20 Retail Data Insight’s solution?
Ideally, we work with retailers’ EPoS (Scan) data at the most granular level – by SKU, by store, and by day.
If we cannot get EPoS data on a daily basis, would weekly data suffice?
We need EPoS data on a daily basis, but our retailers won’t release it. Can we use your expertise to share some examples with the retailers which may persuade them to release the data?
We can help by showing the additional sales that can typically be generated using daily rather than weekly data in similar categories to your own.
How long after EPoS data is received are alerts generated for the field team to fix?
We typically receive data from the retailers’ systems early in the morning and issue alerts within 2-3 hours. If we can get the previous day’s sales data early enough, the alerts can then be with the field team before they leave for their day’s work.
Is your Field View solution a stand-alone app or integrated into a Sales Force Automation (SFA) solution?
What are the barriers for manufacturers completing On-shelf Availability (OSA) issues for themselves?
The main barrier for clients themselves is the complexity in sourcing the scan data, gathering this from the retail partners’ websites, and homogenising it. This will be tricky as each retailer has their own individual code that they tribute to a manufacturer’s SKU. See how 20:20 Retail Data Insight’s solution can help with this here.
Can anything be done in markets where scan data by-store-by-SKU is not available?
The 20:20 Retail Data Insight team is very focused on this. We are currently producing an application of set machine learning and artificial intelligence tools which we are referring to as 20:20 RDI Predictive Analytics to help us unlock and use different data sources from clients.
In your experience, what are the most pressing OSA problems that need to be solved?
Big data analytics can help solve a range of problems. This can be factors such as highlighting execution gaps, planning incremental sales opportunities, optimizing forecasting, tracking trade terms compliance and ROI. Find out more here
Who are the main Stakeholders for big data analytics?
Sales, Customer Marketing, Supply Chain and Revenue Growth Management teams.
How could 20:20 Retail Data Insight help?
20:20 Retail Data Insight has deep expertise in big data analytics employing a mixture of seasoned CPG experts and combining this with data scientists. We retrieve the retail data for clients and undertake the analytics and provide software solutions which deliver the actionable insights to your relevant stakeholders in an easy to digest format. Find out more here.