Category : Sales Forecasting

Sales Forecasting

Sales forecasting and demand prediction information based on our knowledge and real life business experience.

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.

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.

Why sales forecasting and demand projection is crucial for (even more) successful retail business

Running retail business of any kind might be extremely tricky process full of unknown variables. Full scale analytics service provider is able to offer you a lot. But in depth analytics projects demand lot of recourses, hence money. Big retail businesses already benefit from analytics services because of their large scaling and that’s how they improve their profitability even more. This is raising following question:

Are small retailers able to benefit from data analytics?

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.