bridgei2i

MAY 26, 2020

In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. To introduce him better, he has been a supply chain analytics professional for over 14 years.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

bridgei2i

JUNE 2, 2020

Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. I can’t exactly forecast my losses, cross sell and growth hence becomes tougher decisions to make. Understand loss forecasts adjustments, that needs to be made, plan for collection based on emerging patterns.

Risk Management 128

Risk Management Risk Enterprise Management 128

bridgei2i

JULY 8, 2020

And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. In the short run, this means they have to get their demand forecast right. His past experience has been with Manthan, HP, and Pepsi Co.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

bridgei2i

JULY 21, 2020

Therefore, together, from a supply-side perspective, it is becoming extremely difficult for CPG companies to forecast and plan. Also, Melita, planning, and forecasting, as I spoke about this earlier, is becoming a huge challenge. Listen Now Insurance is among the most-affected industries of the novel Coronavirus.

Enterprise 95

Enterprise Digital Transformation Sales Forecasting 95

bridgei2i

AUGUST 4, 2020

It’s streamlining the forecast process. I will debate with you that it’s improving the forecast process because in the last couple of years, when we asked companies, what’s the outcome of, of forecast deals, the win rates been around 47%. That’s an issue.

Sales 93

Sales Enterprise B2B Digital Transformation 93

bridgei2i

JUNE 30, 2020

The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. And like you rightly mentioned that they could have a better recommendation system perhaps improved forecasting tools and broadly, AI and analytics like contextual solutions to power their businesses. Thank you, Suvodip.

Enterprise 98

Enterprise Technology Digital Transformation Manufacturing 98

bridgei2i

AUGUST 4, 2020

It’s streamlining the forecast process. I will debate with you that it’s improving the forecast process because in the last couple of years, when we asked companies, what’s the outcome of, of forecast deals, the win rates been around 47%. That’s an issue.

Sales 52

Sales Enterprise B2B Digital Transformation 52