Tag : sales

15 Sep 2017

How weather affects retail sales?

This is a no brainer – weather definitely has its own impact on retail sales. The substantial question is to which extent. This blog post is based on our own analytical insights extracted out of a project we developed and implemented for a chain of pastry shops in Europe.

Our example is giving deep insights on how day-to-day weather change affect daily revenues for a particular retail location. Careful examination of a representative sample of pastry shops shows clearly that the revenues of such kind of retail business may change up to 40% on a day-to-day basis. No doubt, this is big!

29 May 2017

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.

5 Jul 2016

Why data analytics is crucial for fashion & apparel manufacturers and retailers

Regardless of its size, any fashion or apparel manufacturer is confronted with challenges related to predicting the future.

Unlike the big brands that manage to create and impose trends, smaller players try to foresee what will be the forthcoming changes in consumer tastes. Trends might arise even from occasional events, take for instance Converse sneakers which became a big hit after rock bands like The Ramones wore them onstage on their gigs at the late 70s and early 80s.

Apparel manufacturers often can do nothing but to follow and adapt according to trends. Discussing fashion and apparel, such shifts affects everything – size, color, shape, fabric, price, etc. are a piece of the equation for success or fail.

28 Jun 2016

5 benefits of predictive analytics in e-commerce

Visits, visitors, events, conversions, orders, time on site, page views, subscribers, average order value, etc. are just a fraction of the e-commerce KPIs and metrics that every online retailer should keep an eye on. All these pieces of data are just the perfect fit for predictive analytics and sales forecasting.

Its huge amount of data which might be modeled in order to project future demand and overall e-commerce performance. This is leading to crucial benefits pushing online retailers further in terms of effectiveness, profitability, and performance.

19 May 2016

11 ways to increase your coffee shop profits

The coffee shop industry is making billions dollars a year. Even though opening your own coffee shop looks like a piece of pie and definitely profitable enterprise, it is not exactly like this.
The value of a cup of coffee is around $0.50 and the retail price is between $2 and 3, depending on the market. It sounds like profitable margin. But you have to keep in mind that operational costs for a coffee shop are quite high. On top of this you have to add the fierce competition by well-established chain of coffee shops with strong marketing and huge advertising budgets.