A4Everyone Blog

How menu engineering can be the ultimate restaurant profit-boosting tool

It started in the 70`s when Bruce D. Henderson created the growth-share matrix for the Boston Consulting Group. Its aim was to help businesses to analyze a particular product performance within the entire product line. It is simple yet effective approach if correctly applied.

Restaurant owners and managers can benefit too. The growth-share matrix, also known as the Boston Matrix has its restaurants’ custom-made version, called menu engineering. It is a data-driven approach to boosting a restaurant` profit. In this blog post, we are going to share with you how to do it easy and effective as possible.

4 tips for improved sales forecast accuracy

We already discussed how important sales forecasting is to any business, not matter B2C or B2B. Proper forecasting is an efficiency booster since it is enabling proper recourses planning like staff, stock, financials, logistics, production, etc. This is especially important for businesses producing limited shelf life products.

One single KPI makes the sales forecasting good or bad. It is the accuracy. The accuracy is the crucial indicator paving any business plan to the road of success or failure. In this blog post, our data analytics team at A4E is sharing tips and hints on how to boost your sales forecasting accuracy.

How Boston Matrix Can Boost (Almost) Any Business

Boston Matrix is a simple analytics diagram displaying business data in a convenient manner to deliver insights to managers on the performance of a product in terms of profitability and sales volumes. This data visualization approach, also known as growth-share matrix or portfolio diagram can be applied not just in terms of product performance but also in terms of ranking almost everything, including customers, revenue sources, marketing activities, etc. It is suitable even for NGOs willing to be more efficient in fundraising.

How telecommunication companies utilize data analytics

For just a decade, the telco sector is nothing like what it was like. Telecommunication companies faced transforming changes and data is the centerpiece. First, mobile telecom companies shifted their focus from voice vendors to data carriers. Fixed services became obsolete and experience downfall. Competition became more fierce than ever because a market maturity means a limited amount of end users even though IoT are percepted as a potential booster. So, such situation should be examined more as an opportunity than like a dangerous threat.

Efficiency boosting webinar for pastries, cake shops & bakeries

At A4E we are strong believers that data analytics is capable of bringing improved business efficiency in any industry or sector including the smallest one. That is why we created a webinar dedicated to pastries and bakeries in order to help them limit waste and boost sales at the same time. This way we shared useful insights on how to achieve meticulous planning balancing perfectly between supply, demand, production time and shelf life.

How data analytics might reduce food waste

Like it or not, we all are living in a world where many people are starving while in the same time a tremendous amount of food is wasted by consumers, retailers, manufacturers, etc. Food wastage is a problem not just because is a missed opportunity for people in need. It is an issue because wasted food is incinerated in combustion facilities or is stored in landfills. Once in landfills, the food breaks down to methane, which is a strong contributor to the greenhouse effect boosting hazardous climate change. Speaking of food waste we should know that throwing an apple means we are spilling about 100 liters of water, needed for its growth. The water footprint of a beef is more than 7 tons of water.

When Data Scientists Race Some Fast Cars

Elon Musk and his Tesla Model S started it all. The premium electric sedan was equipped with advanced and self-learning Autopilot system, which can take the chauffeuring work out of the driver. It was a complete breakthrough because if it works as good as it should; it is going to change driving forever. It is all because of Artificial Intellect (AI) and the way it works fueled by data sensors and powered by video analytics. And since we have, to be honest, it wasn’t started by Elon Musk but the automotive industry itself. It doesn’t matter if we talk about rain sensing wipers (Cadillac) or adaptive cruise control (Mitsubishi) or lane departure systems (Mercedes-Benz). Such systems work with predefined events with some variables in the input data and one particular, predefined outcome.