Inside Sales

Overview

Inside Sales is a full lead-to-conversion CRM. It suits teams that pull prospects from several places at once. Website forms, cold-email tools, prospecting databases and spreadsheet imports all feed it. Reps get a clear prioritised list of who to contact next. Managers get reporting that reconciles back to real records. It's built for inside-sales teams that have outgrown a shared inbox and a spreadsheet. They still need each lead to follow the same structured path.

Challenges

On the surface the CRM looked finished. Underneath almost nothing could be trusted. Dashboards were wired to sample data. Headline counts never matched the lead lists reps actually worked from. Visibility rules were not enforced. Any rep could open another rep's leads. The website form created the wrong record type altogether. That broke intake at the front door. Leads arrived from five different paths with no record of where they came from. There were no deduplication rules. The same prospect piled up again and again. Reps copied prospects out of external tools by hand. New leads sat unowned. Nobody could see who moved a lead between stages or when. CSV files were imported with no mapping, preview or validation. Outreach carried real compliance exposure. Contacts could be sourced from unapproved channels and people who had opted out could still be contacted. Cold prospects who had never replied were pushed straight to reps. That buried the genuinely interested ones. Calls left no evidence trail. Conversion reports couldn't be tied back to the records behind them.

Solution highlights

We rebuilt the CRM from the data layer upward. Intake came first. Each lead now enters as the correct record type and carries an accurate source tag. It passes deduplication rules before it is created. Then we connected the dashboard and lists to live data and enforced proper visibility. Reps get a My Leads view. Managers get an All Leads view. New leads are assigned an owner automatically through fair round-robin distribution. Managers can override that. Each stage change is logged as an activity. Prospects from external tools flow in automatically. Reps don't copy them by hand any more. A guided CSV wizard controls bulk imports with column mapping, preview, validation errors and explicit duplicate decisions. On compliance the enrichment draws only on permitted directories and vendors. Email verification, capture timestamps and opt-out logging suppress future outreach. Cold-email sequences detect replies and route only interested leads to sales. Reps get recommended call scripts based on the current stage. They also get default follow-up reminders and call recordings with searchable transcripts. An AI layer scores each call for quality. It flags compliance issues and wasted time and returns specific coaching tips.

Key Features

• Role-based access with separate representative and manager lead views
• Live dashboards whose counts reconcile with the underlying lead records
• Automatic lead ingestion from website, Instantly, Apollo, CSV and manual entry
• Source attribution and deduplication applied across all intake paths
• Automatic round-robin lead ownership with manager override
• Lead priority scoring with plain-English explanation plus sorting, filters and an optional SLA indicator
• Guided CSV import with column mapping, preview, validation and duplicate handling
• Compliant enrichment with email verification, capture timestamps and opt-out suppression
• Cold-email sequences with reply detection that routes only interested leads to reps
• Stage-based call scripts, follow-up reminders and full call activity tracking
• Call recording, searchable transcripts and AI call scoring with coaching tips
• Conversion reporting by salesperson and lead source across any date range

Our Role & Approach

Our job was to take a CRM that looked complete and make it dependable. We worked in a deliberate order instead of fixing symptoms. Intake came first. Bad data at the front door poisons what comes after it. Then ownership and pipeline so work could be tracked. Then compliance because outreach carries legal risk. Only then the call quality and reporting layers that sit on top. Each fix was validated by reconciling reported numbers back to the actual records. That was the standard the client cared about most. We kept privacy and permission work separate from feature work. Visibility scoping was proven on its own rather than assumed.

Technology Stack

Backend: Django, Django REST Framework, Django ORM, django-tenants, Celery, django-celery-beat. Lead sources: website forms, Instantly, Apollo, CSV upload, manual entry. Workflow: round-robin assignment, manager override, sales stages, activity timeline. Compliance and enrichment: official directories, permitted vendors, email verification, opt-out tracking. Outreach and calls: cold email sequences, reply detection, call scripts, follow-up reminders. AI and reporting: call recording, transcripts, AI coaching, compliance flags, conversion reporting.

Outcomes

Managers and reps now see dashboard counts that match their lead lists. That restored confidence in the numbers guiding daily decisions. Reps see only their own leads while managers keep full oversight. That closed a genuine privacy gap. Each lead carries accurate source attribution and a correct record type so attribution is clean across all five intake paths. Duplicates are caught at the door. External prospects flow in automatically and the manual copying is over. Each new lead has an owner and a tracked stage history so nothing falls through the cracks. Reps prioritise with scoring, filters and SLA indicators instead of guesswork. They spend their time on leads that actually replied. Outreach is defensible. Enrichment sources are permitted. Opt-outs are honoured. Verification status and capture dates are logged for audit. Call quality improves through stage-based scripts, transcripts and AI coaching. Conversion reports reconcile to the underlying records by salesperson and source. Management reporting is credible again.