
Midland Microfin Limited is a microfinance institution based in Jalandhar that runs incentives for 4,000+ field staff across about 500 branches in 10+ states. Its 50+ schemes vary by role, geography and loan type across a 7-level hierarchy, with short-term contests on top. These were calculated in spreadsheets, with no live view for the field. Data now refreshes daily, every scheme and exception runs in one engine, manual calculation effort fell by 95% and payout queries by 70%+.
| Item | Detail |
|---|---|
| Industry | BFSI, microfinance, India |
| Field users | 4,000+ field staff, from Centre Officers to Branch Managers and above |
| Structure | About 500 branches in 10+ states, on a 7-level hierarchy |
| Plans | 50+ incentive schemes with geography variants, plus short-term contests |
| Products | Joint Liability Group, Individual, Ajeevika, Education and Wash loans, each with its own incentive structure |
| Data | Datasets integrated by the Midland team, refreshed daily |
| Modules | Calculation engine, contests, AI-powered nudges and leadership analytics |
Midland Microfin is a microfinance institution that pays 4,000+ field staff on incentives, from Centre Officers to Branch Managers and the levels above them. Every payout was calculated in spreadsheets. No one in the field could see what they had earned until the payout arrived.
The business was growing faster than the sheets. Midland runs about 500 branches in 10+ states and has planned to double its branch count. Each new branch added payees, schemes and rows to files that were already hard to check. When a number looked wrong, the question went back to the team that built the sheet, and payout queries reached that team every cycle.
The structure of the plans. Midland runs a 7-level hierarchy, and across its roles there are 50+ incentive schemes. Many vary by geography, so the same role can earn on different rules in different states.
Each loan type carries its own incentive structure: Joint Liability Group, Individual, Ajeevika, Education and Wash loans. Teams are paid on different measures, including new disbursements, on-time collection, recovery of due amounts and team performance. Payouts also move with each branch's audit grade and its customer grievances.
On top of the regular schemes, Midland runs short-term contests. Each one had to be built, and then explained to the sales team, before it could change what they did.
Midland needed a system that could keep pace with its growth. Calculations could no longer run in spreadsheets, and every new branch and scheme had to fit without a rebuild.
Midland ran a proof of concept with Kennect before deciding. Its team could configure schemes on the platform itself, and Kennect turned the setup around quickly. That self-serve setup, and the speed of the proof of concept, set Kennect apart from the other options Midland evaluated.
The principle Kennect built around: every scheme, contest and exception runs in the system, so nothing goes back to a spreadsheet.
Manual effort in incentive calculation has fallen by 95%. The only manual step left is uploading a few datasets. That freed 200+ man-days once spent on incentive work, and Midland now runs incentive payouts with no spreadsheets at all.
A collection agent's portfolio can change partway through a month. The incentive then has to reflect that change, not just the portfolio the agent ends the month with. Kennect captures the change in the system, along with excluded transactions and sales attribution overrides, so the payout follows the rule Midland set instead of a manual fix in a sheet.
Across roles:
| Metric | Before | After | Basis |
|---|---|---|---|
| Manual effort in calculation | Spreadsheets and manual calculation | 95% lower; only some dataset uploads remain manual | Incentive team workload |
| Team time on incentive work | - | 200+ man-days freed | Incentive team workload |
| Payout queries | - | 70%+ fewer | Payout query volume |
| Spreadsheet use | Every scheme in spreadsheets | None; exceptions held in the system | Calculation engine |
| Data refresh | Manual | Daily | Data integration |
| Contest launch | Built and explained by hand | Configured on the platform and announced in the app | Contests on Kennect |
See how Kennect calculates SKU group incentives, reruns six months of payouts and gives every rep a live view of what they earn.
Book a demoEach role is paid on its own measures, such as new disbursements, on-time collection and recovery of due amounts. The scheme applies those measures by loan type and geography, then adjusts for branch audit grades and customer grievances. At Midland Microfin, Kennect runs 50+ such schemes across a 7-level hierarchy on data refreshed every day.
Configure each contest on the incentive platform and announce it in the same app payees already use. The contest then reads the same data as the regular schemes, so results need no separate sheet. At Midland Microfin, the incentive team designs and launches contests on Kennect and reaches 4,000+ field staff through the app.
The change is recorded in the incentive system and applied by rule, not adjusted by hand. The payout then reflects the portfolio change, along with any excluded transactions or attribution overrides for the period. Kennect holds these exceptions for Midland Microfin in the system, so none of its 50+ schemes needs a spreadsheet.
Show staff their achievement and earnings during the cycle, not only at payout. Regular nudges tell each person where they stand and what to focus on, so fewer questions start. At Midland Microfin, Kennect's AI-powered nudges reach field staff through the cycle, and payout queries have fallen by 70%+.
Most of it, once data flows in and every scheme and exception sits in one system. What remains is uploading the datasets that are not yet integrated. At Midland Microfin, Kennect cut manual effort in incentive calculation by 95% and freed 200+ man-days of incentive work.