That help save 100’s of working hours and win Shoppers’ hearts
Time and automation…the 2 resources that are often lacking in many retail organizations and that prevent teams to do as much as they wished to delight their shoppers. In this paper, we look at 2components of marketers’ jobs: Category Planning and Promotion Planning.IN these components, we are looking at 3 areas where automation helps save literally hundreds of hours: Diagnostics, Score Cards, and History; and what decisions these automated methods help take
Take the best decisions to activate your Category on Assortment, Price, Promotion and Distribution in minutes!
A complete category diagnostic usually delivers the causes of the sales variations and what should be done to improve the performance. It should at least cover the performances of assortment, distribution, prices, and promotion impact. Delivering such a diagnostic, from data collection to crunching and analyzing, can take tens of hours per category. At worst, the diagnostics is not done due to the lack of time and wrong decisions can be taken. The pain Hypertrade addresses here again is time and data accessibility. With Hypertrade, you can automatically create a diagnostic in less than 2 minutes.
In the example above, it is clearly visible that despite strong promotion sales and improvement in distribution, assortment and price changes had a negative impact on the sales performances.
• Identify which of these 4 sales drivers need to be improved.
• Define which sales driver needs to be prioritized.
A simple click on any of these drivers gives access to the products and store details
At a glance, category managers and merchandisers can identify:
Category Indicators vary each time the sales change. They deliver critical insights on the category’s assortment efficiency and its structure. They can be accessed, with their evolution vs. the last period, immediately.
Traffic, basket penetration, average purchased price and number of items by basket define sales performances, and their variation explains sales results. These insights are almost instantly available, onthe same page:
Score Cards are an efficient, fast, and extremely powerful way to
Score cards measurements are usually established in a set of different perspectives:
With Hypertrade, you can automatically access your score cards in less than 2 minutes, including the priority actions. Here is your global Score Card Menu
Then you Growth Origins and the Range Status
A simple visual display show when there is an improvement (green) or a challenge to address (red)A quick glance at the ongoing promotions’ performances and their evolution
Simply focus on the Brands and sub-categories that require attention.
Benchmark sales, promo and range performances in a blink and focus only on the areas that need your attention.
We have seen with the Category Diagnostics and Score Cards how simple it is to measure:
The decision we now face is to decide, whether we want to invest or disinvest:
This is when the Promotion Calendar becomes very handy. In a single view, marketers can visualize each promo (their own and the competition), their dates, and performances.
Clicking on any of these values, it becomes easier to look at performances items by items, sales by stores or even effectiveness.
Talking about Calendar inevitably drives us to mention history. It’s typically quite difficult to keep the history of all promos that have been run, the scope under which they have been launched and their corresponding performances.
Here again, technology and Ariane come to the rescue by enabling users to access all promo products history in just a click.
The first step is to just select the Brand and see all the items that have been promoted during the selected time period.
The second step is, for any selected item, look at when it has been promoted, how many times, in whichchannel, and what was the selling price at which the best performances have been achieved.
Ariane is a Category Management solution, published b y Hypertrade, available as a Platform or as a Plug-in in existing solutions such as Power BI. Developed by retailers for retail players, it integrates hundreds of retail-expert algorithms. Ariane is currently used by tens of companies in South East Asia, Middle East and Africa. Contact us to book a demo
For retail players who want to do more for their shoppers with data, Hypertrade is a retail analytics platform powerhouse that transforms data from any source into recommendations andactions.
Unlike other solutions, Hypertrade is packed with retail expert algorithms and automation and can be used as a platform or as an engine .Our business is built on retail expertise, data science and collaboration
From constantly changing prices, availability issues to continuously growing competition, we help teams take the right decision to develop winning category strategies
Promotion history, campaign analytics & promotion planning help teams deliver stronger promotions ROI
We connect shoppers & loyalty data to help Insights & Category Management Teams build compelling shoppers’ strategies
User friendly interface, interactive charts and tables create an intuitive & interactive platform that teams love
Internally with your own teams or externally with business partners, share insights and recommendations to establish a common language while maintaining your own segmentation
Whatever your data format, granularity level or source, deliver a seamless access to insights & recommendations with automated data ingestion, structuring & cleansing processes
Hypertrade is a retail tech company in Category Management and Shopper Behaviors Analytics. Manufacturers use our platform to manage their multi-retailer data sets and to automate their category management and sales analytics. Retailers use our platform to improve their Commercial offering, collaborate with their suppliers and Engage their Shoppers. Building on Sales, POS & Loyalty data, some of the things we fully automate are:
• Brand& Category Score card
• Brand automatic Diagnostics
• Range Optimization
• Promotion Planning & Forecasting
• Shoppers baskets analysis