Struggling to Identify Signals From Vast Data
Tracking data when there are just a few data points makes sense. However tracking over 50+ individual data points per role per day including crop yields, soil moisture levels, and pest infestation while finding and fixing anomalies is a mammoth task.
Several individual products are used in farming both during the growing season and after the harvest has been collected. The process must be optimised to minimise waste, including the distribution of seeds, fertilisers, and pesticides; as well as the grain that has already been harvested.
Problem With Existing Solutions
Spreadsheets reached their limitations in handling the large volumes of data that Jiva generates efficiently. It becomes increasingly challenging to manage and analyse this data accurately using Excel alone.
Weekly Review Calls
The team at Jiva had scheduled weekly review calls to discuss how the stock was at different warehouses and how dispatch was progressing. This made the system very static, leading to delays in problem-solving and decision-making.
Manage Stock Levels
Locale.ai generates alerts to notify the internal team about the stock levels. This ensures that the team is promptly informed about inventory remaining, allowing them to take necessary actions such as restocking or adjusting procurement plans.
Managing shelf life
Alerts are utilised to manage products with limited shelf life effectively. Locale.ai tracks expiration dates and sends notifications to relevant stakeholders, enabling them to optimise the utilisation of these products before they expire. This helps in reducing wastage and improving overall efficiency in inventory management.
Mitigated Financial Risks
Locale.ai monitors the data on financial transactions and identifies creditors who may pose a risk. In cases where creditors do not respond to updates or show signs of potential default, alerts are triggered to notify the concerned parties. This allows Jiva to take necessary precautions, to mitigate financial risks.
With alerts about the stock levels, Jiva no longer needs a regular call to discuss this specific task. This has reduced the risk of delays or missed opportunities due to stock shortages, ensuring smooth operations and uninterrupted supply to customers.
The adoption of Locale.ai has facilitated a transition from a static to a dynamic way of functioning. By receiving real-time notifications and updates, the team at Jiva can make timely decisions and adapt to changing circumstances swiftly. This agility allows them to respond proactively to market demands, and optimise resource allocation.
Improved communication and collaboration
Locale.ai has enhanced communication and collaboration among ground teams by improving transparency. By providing the latest updates on stock availability, shelf life, and financial transactions, all team members are on the same page and can make informed decisions. This promotes better coordination, reduces miscommunication, and fosters a collaborative work environment at Jiva where teams can align their efforts toward shared goals.
Increased ownership and visibility
Locale.ai, has increased visibility by highlighting issues that have not been actioned upon by the team. This ensures accountability and enables prompt resolution of pending tasks. By addressing these issues in a timely manner, the organisation can prevent bottlenecks, reduce delays, and maintain operational efficiency.
Overall, Jiva's partnership with Locale.ai has demonstrated the importance of having an inventory management systems in place for businesses looking to scale and optimise their operations. By implementing Locale.ai, Jiva improved its inventory management, resulting in a better customer experience, higher efficiency, and ultimately, contributing to the continued success of the business.
In conclusion, Jiva's collaboration with Locale.ai is a testament to the importance of adopting the right tools and software to optimise business operations. By leveraging this power, Jiva has been able to focus on its core business, while Locale.ai takes care of the rest.