Start­up meteoIn­tel­li­gence helps fore­cast how weath­er will affect businesses

The Augs­burg-based start­up meteoIn­tel­li­gence aims to sup­port com­pa­nies by using mete­o­ro­log­i­cal data to pro­vide deci­sion sup­port for process­es that are influ­enced by the weath­er. It is fund­ed by the Fed­er­al Min­istry for Eco­nom­ic Affairs and Ener­gy (BMWi) through an EXIST start-up grant and is sci­en­tif­i­cal­ly accom­pa­nied by the Uni­ver­si­ty of Augs­burg. The link between entre­pre­neur­ship and sci­ence is a cen­tral ele­ment of the schol­ar­ship. Now the start­up has com­plet­ed the first prototype.

Sci­en­tif­ic stud­ies show that many eco­nom­ic sec­tors depend on mete­o­ro­log­i­cal con­di­tions. In the case of con­struc­tion or an ice cream par­lor, this is still obvi­ous. But such influ­ences also exist for DIY stores, online retail­ing or the ener­gy mar­ket. This is exact­ly where the start­up meteoIn­tel­li­gence sees its niche. “We are not a weath­er ser­vice provider, but rather sup­port com­pa­nies in being able to bet­ter assess the influ­ence of the weath­er on them and thus plan bet­ter,” says Tris­tan Sem­sch from meteoIntelligence.

The founders cre­ate mod­els based on mete­o­ro­log­i­cal val­ues, but also vari­ables from the com­pa­ny itself or spe­cial­ly researched data, which pre­dict the influ­ence of the weath­er on busi­ness oper­a­tions. The cus­tomer gets the fore­cast based on vari­ables that he knows, such as sales fig­ures for cer­tain prod­ucts. Many aspects are tak­en into account in the ener­gy mar­ket: How much heat do I need in my sup­ply area. What peo­ple live there? What is the fore­cast for the tem­per­a­ture? What role does the day of the week or hol­i­days play? The cus­tomer no longer has to inter­pret data him­self, but receives clear state­ments. “We have now com­plet­ed the orga­ni­za­tion­al phase and the first pro­to­type is ready,” says co-founder Daniel Las­sahn. Cur­rent­ly there are many cus­tomer inquiries. The start­up is cur­rent­ly focus­ing on the ener­gy sec­tor and DIY stores, but also has solu­tions in mind for oth­er areas.

The unique struc­ture of the fore­cast mod­el makes it pos­si­ble to quan­ti­fy influ­ences on cus­tomer-spe­cif­ic oper­at­ing vari­ables and to fore­cast them. The cus­tomer thus receives fore­casts of vari­ables that are famil­iar to him from his every­day work and no longer requires mete­o­ro­log­i­cal know-how for their inter­pre­ta­tion. Fur­ther­more, the flex­i­ble struc­ture of the mod­el allows a ver­sa­tile appli­ca­tion in dif­fer­ent industries.

Coop­er­a­tion with the Uni­ver­si­ty of Augs­burg and the Dig­i­tal Cen­ter Swabia (DZ.S)
The EXIST Grün­der­stipendi­um of the BMWi offers the start­up the unique oppor­tu­ni­ty to focus on the fur­ther devel­op­ment of the idea, the busi­ness mod­el and the pro­to­types. “With Prof. Dr. Jörg Häh­n­er, we were able to win an expert in the fields of algo­rithms for the imple­men­ta­tion of self‑x prop­er­ties (e.g. self-learn­ing, self-opti­miz­ing, self-con­fig­ur­ing) and machine learn­ing in tech­ni­cal sys­tems for the start-up project,” says Tris­tan Sem­sch. The Pro­fes­sor of Organ­ic Com­put­ing at the Uni­ver­si­ty of Augs­burg has accom­pa­nied the team from the very begin­ning and is avail­able to the founders dur­ing reg­u­lar meet­ings to answer ques­tions about the con­tent of the project. The organ­i­sa­tion­al pro­cess­ing, such as the pro­cure­ment of required hard­ware, also takes place via his chair. The project is sup­port­ed by oth­er uni­ver­si­ty insti­tu­tions, the StartHub — Inno­va­tion and Start-up Cen­tre and the Career Service.