Unilever is an established company global manufacturing leader world in consumer products, creator of iconic brands such as Dove, Fruco, Caldos Knorr, among many others. Currently, it produces and sells
over 400 brands spanning 14 categories of home, care personal and food products in more than 190 countries. 

In Colombia, “Unilever has its center of production located in the Valle del Cauca (two factories), which achieve produce about 184,000 tons
annual for food categories, home and personal care”. According to
Unilever figures, it’s around 2.5 millions of people who use their
products worldwide.

Before ibisa

  • Process with data silos.
  • Paper manual data capture.
  • Excel for control and management.
  • Opinion based decision taking.
  • Lack of collaboration between areas.
  • Assets, systems, process and people disconected.

What they need

  • Reliable data to decision making.
  • Avoid time spending preparing excels and reports.
  • Act in the moment with events happen.
  • Identify process bottle necks.
  • Monitor process, infrastructure and KPIs in real time.
  • Collaboration between areas.

The challenge

The great challenge for Unilever was to obtain savings strong in the production process through the improvement of operational efficiency and decision-making
better decisions by having reliable information of the procedures. For this, automated process in 3 of its main plants of foods, which were: Savory (broths and
seasonings), NVP (cornstarch) and Dressing (sauces and mayonnaise). Between those three plants there are 16 lines of production, in which they wanted to increase the
productivity and eliminate human error, the shift control and everything that happened within the production process, this including: hours
inactive, types of stops, response times of maintenance, among other variables that lead to the overall efficiency of the process.

The solution

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