Fdc Sales Mis Apr 2026

A pattern emerged.

Arjun realized the MIS had no field for retailer anxiety . No column for patient self-medication . No variable for regulatory trauma .

Palpitations. The steroid component had a known but rare cardiac risk. In clinical trials, it occurred in 0.3% of patients. But if even one patient reported it to a senior doctor like Iyengar, she would blacklist the FDC forever. The MIS, however, would not capture why she stopped. It would only show a line descending. Numbers without stories were dangerous. Fdc Sales Mis

“Yes sir, forty scripts. I saw them myself. She wrote them in front of me.”

He returned to his dashboard the next morning. The system had automatically generated a stock ageing report for Nebuflam-D. It showed that 34% of inventory at the stockist level was within 60 days of expiry. The algorithm flagged it as “moderate risk.” But what the algorithm didn’t say was that Suresh was planning to return those batches next week, triggering a cascade of negative entries that would nuke the zone’s incentive payouts for the quarter. A pattern emerged

A pause. “Sir, she said the combination gave some patients palpitations. She switched to separate molecules.”

“Rajesh gave me these,” she whispered. “He said, ‘Just enter them. The system will never know. The expiry dates are old anyway.’” No variable for regulatory trauma

Arjun had been a regional sales manager for eleven years. He had seen doctors change prescription habits, drug reps morph into digital avatars, and CRM tools evolve from paper diaries to AI-driven dashboards. But nothing—nothing—had prepared him for the silence that came after the launch of the new FDC.

He walked out of the data entry room, past the janitor who had stopped humming, past the empty cubicles, past the motivational posters that said “Data is the new science.”

He pulled up the prescription trend for Dr. Meera Iyengar, a pulmonologist in the city’s top lung hospital. Her prescription numbers for Nebuflam-D had gone from zero to forty in the first week—after his star rep had visited her thrice—and then dropped to two in the third week. But the MIS showed zero patient redemptions from her prescriptions. That meant either patients weren’t buying it, or the prescriptions were never written.

Arjun stared at the glowing screen in his cubicle at 9:47 PM. The office was empty except for the janitor, who hummed an old Hindi film tune while mopping the corridor. On Arjun’s monitor, a cascade of numbers scrolled silently: units sold, doctor prescriptions, stockist balances, tertiary sales, secondary sales, primary sales.