Supply chain example

1. Supply Chain Birla
Cement
• Akash Bhalla
• Aruna Gochwal

3. Supply Chain and
Logistics
Challenges in
Cement Industry

4. AI and IoT in Cement Industry – Top
Supply Chain Use Case
• Artificial Intelligence and Industry Internet of Things in the
cement industry is catching up fast. The new AI and IIoT
technologies are like a refreshing wave. Implementation of
these advanced technologies creates more openness in the
system and aims to plaster the various challenges that come
with supply chain optimization.

5. Plant-wise summary and inventory visibility
• According to a PWC study, digitized supply chains are a major revenue booster for heavy
industries like cement manufacturing. An outbound supply chain performs complex tasks
from inventory procurement to the distribution of finished goods. It also includes streamlining
demand, inventory sourcing, and distribution to all channel partners in the chain. Thus,
transportation and inventory management is one of the biggest challenges for the cement
industry.

6. Order tracking, receipts,
and monitoring
• Demand forecasts help manage the demand
and supply of the product, ready-mix
cement, and concrete suppliers. A
consolidated network of checkpoints and
milestones needs to be monitored for an
organized transaction. This ensures that all
the physical flows are in line with the
overarching business strategy and
documentation.

7. Automated cement reordering
• When it comes to identifying areas of cost savings in the cement industry, IIoT proves beneficial by inducing
industrial automation. AI assets and Industrial IIoT automate every task end-to-end. The simplified solution
prepares and analyzes data through various tools and techniques, from consolidating millions of data-points to
processing numerous variables. From machine profiling to order automation, IIoT architecture touches every bit
of it.
• With IIoT at the center, a connection is established between smart factories to turn it into a smart grid of
comprehensive ecosystems. It can help in:
• Mapping advanced techniques and algorithms using advanced analytics and design software
• Optimizing asset and controlling systems via multiple data interfaces
• End-to-end order requisition, from listing to delivery
• Placing reorders and monitoring the entire stock