The Solutions


Powered by our Core Technology, the analytics capability we offer can be harnessed to bring solutions and counter challenges in various industries.

Better Farming with Precision Agriculture


Challenge

Agriculture productivity is not optimized since majority of farmers do not implement the best agronomic approach. To get better insights on how we can maximize farming potential, we require comprehensive historical data of the farm land which is mostly unavailable. Stakeholders in the agriculture ecosystem are not interconnected resulting in sub-optimal collaboration.

Our Solution

A groundbreaking mobile application that gathers data from farming operations in the field and provide insights to field officers and farmers. Satellite imaging to gather weather and other remote data. Farming recommendation system generated by our adaptive analytics engine that can guide the farming process based on the best approach.

Result

In our experiment with more than 1,300 farmers in 1,700 hectares of land, we managed to increase crop yield by 80%, while reducing the use of farm inputs (fertilizers, etc.) by 50%.

Industrial Optimization with the Internet-of-Things Platform


Challenge

Manufacturers are faced with cost volatility (raw materials, fuel, etc.), shrinking profit margins to maintain competitive prices, and changing buyer preferences to keep up with the competition. They are also challenged with reduced cycle times to speed up production and downtime management that can cause production lost.

Our Solution

Simple to use data analytics is the key to unlocking efficiency and optimized factory operations. Our Manufacturing Analytic Suite, powered by GE’s Industrial Internet Platform, Predix, enables you to predict, adapt, and react more quickly and effectively than ever before. Link design, engineering, manufacturing, supply chain, distribution and services into one globally scalable intelligent system

Dattabot addresses these challenges, enabling industrial companies to unlock the full potential of their enterprise information to optimize assets and processes and accelerate profitability.

Specifically, the Predix Platform enables experts in the organization to easily extract knowledge from a range of sources—including isolated data hidden in systems and various operational processes—and understand their complex relationships. This provides enterprises with a holistic view of assets and processes for faster optimization of operations.

Result

With the platform, major industries can achieve up to:

Increase 10% Overall Equipment Effectiveness in Manufacturer Reduce 20% of Inventory Reduce time from order to delivery by 70% Reduce Rework by 15% Increase 35% of Oil Recovery Rate Reduction of 10% in emissions

Digitalization in Healthcare Sector


Challenge

Currently in Indonesia, there are no comprehensive data on drugs and a lack of standardization for healthcare documents be it medical reports, patient records, prescription forms, drug invoices, etc.

Our Solution

We developed a system that allows healthcare organizations to automatically extract text and data from printed invoices using machine learning technology and minimal human supervision. The digitized output will be in a format that can be integrated to organizational database and can be used for analytical purposes

Result

Our technology automatically recognizes printed medical documents and extract it into digital data with an accuracy up to 75%

The system dramatically reduces the amount of manual data entry to process this drug invoice data, from 300 data entry operator to only 2-3 operators for quality checking. This will result in cost reduction, improved speed and accuracy in the entire process of medical document digitalization.

Search and Recommendation Platform for Media and Digital Business


Challenge

In digital businesses, collecting behavior data of consumer who visits your website may be easy. The problem lies in the cleanliness of the data and the fact that most business owners may not yet understand the importance of it, therefore they fail to utilize the data to optimize their operation and gain higher profits

Our Solution

Through SPARSE (our search and recommendation platform), we want to help digital business owners to better understand their customers and focus on increasing number of visitors and improving their sales . Offering individual visitors to receive personalized content recommendations relevant to their behavior and interest.

Result

Sparse has been deployed as a Search and Recommendation platform for Qubicle (digital media website) and Tinkerlust (e-commerce website).

Since Tinkerlust used Sparse’s open API to deliver personalized search results, they have generated more than 66,000 clicks, around 2 million impressions, 48% average Click Through Rate (CTR), and 19% increase in conversion rate through their search engine.

Sales has increased since the product recommendation from the search engine is now more relevant with the preferences of each consumer.

Personalized Mobile Ads


Challenge

The rise of mobile penetration in Indonesia and the increased share of mobile impression presents a major untapped potential for mobile marketing, especially to deliver personalized ads for each mobile users.

Our Solution

Dattabot’s technology platform can process various mobile behavior data (such as call data records and deep packet data) to generate demographic, interest, and intention profile of individuals. We can also enrich this data with other data sources to improve accuracy.

Result

In our Proof-of-Concept with one of the Mobile Ads Exchange, our profiling technology was able to create improvement of CTR and total click performance between 2 to 7 times better than the conventional digital advertising campaign utilizing dynamic individual intent profiling.

Conversion rate also increased up to 40% after we integrate the data with third-party data to build a more comprehensive profiling.

The advertising campaign performs better with more people actually clicking and purchasing products as our engine was able to deliver relevant advertising to the right audience, at the right moment.

Smart Retail and FMCG


Challenge

For an FMCG company which distributes million units of their merchandise all over the nation, or a Retail company with thousands of stores across the country, simply monitoring and managing logistics, distribution, or sales force can be a very complex and time-consuming process. In most cases, the problem is not the lack of data but unconnected data which are scattered in different departments, systems, etc. making it a challenge to connect and integrate these data, and understand it in a meaningful way.

Our Solution

Assisted by our Territory Management platform, companies can map/visualize their assets, and identify potential target areas for sales/marketing. Beyond that, our platform also features a smart-algorithm that can automatically formulate the most profitable routes and store visit schedules for every salesperson

Result

After implementing our Territory Management platform system, a major FMCG company in Indonesia was able optimize their sales force management and sales outlet to increase sales revenue by an astonishing 40%.

Economic Development and Microfinance Solution


Challenge

In the effort to improve public welfare, many challenges are faced by every stakeholders. Governments lacks the understanding of the needs and problems of their residents resulting in inaccurate policies. Microfinance institutions also plays an important role in improving welfare, however they are faced with high operational costs related to acquiring and servicing customers, as a result of limited information to expand coverage and to manage risks. On the other hand, micro and small enterprises cannot scale their business due to lack of knowledge regarding their value chain, market, etc.

Our Solution

Dattabot developed a platform that connects various elements of public data to enhance the competitiveness of MSMEs in Indonesia. Within the platform, Dattabot develops 3 interactions to support the growth of MSMEs:

Partner-to-partner interaction: Directory of millions of MSMEs in Indonesia that enables transaction to occur among themselves

Micro-financing: Advance hyper-profiling technology to generate leads to MFIs and improve credit worthiness

User-centered policy: Integrating multiple public data sources to have a holistic understanding of citizens’ problems and needs.