Workflow Automation After M&A: The Challenge for BigCommerce Operations Teams
- Mergers and acquisitions (M&A) create major headaches for operations: duplicate processes, clashing tech stacks, misaligned cultures.
- For industrial-equipment suppliers in construction, this means quoting delays, lost orders, data silos, and frustrated field teams.
- A 2024 Forrester report found post-M&A firms in construction waste 22% more admin time due to redundant manual tasks.
- Automation—if done correctly—can consolidate operational workflows, minimize downtime, and get merged teams speaking the same language.
Step 1: Inventory All Existing Workflows and Systems
- List every workflow you inherit, not just the ones you own.
- Talk to both legacy teams. Use process-mapping (Lucidchart, Visio) to visualize order management, quoting, inventory, service dispatch.
- Check system overlap: BigCommerce, ERP (like Viewpoint Vista or Sage 300 CRE), CRM (Salesforce, HubSpot).
- Document friction points: duplicate data entry, approval delays, manual quoting, mismatched sku numbers.
Example:
After merging, Midwest Crane Rentals found 3 separate quoting approval chains—all in different formats. Manual re-keying added 12 hours/week per rep.
Step 2: Prioritize Workflows For Automation
- List workflows by business impact: revenue, field productivity, customer response time.
- Score by “automation readiness”—are they rule-based, repeatable, high-volume?
- Focus first on:
- Sales order processing in BigCommerce
- Quote approval routing
- Work order creation for service teams
- Inventory sync between online and physical yards
| Workflow | Impact | Readiness | Complexity | Notes |
|---|---|---|---|---|
| Order Processing | High | High | Medium | Easy BigCommerce win |
| Quoting Approval | High | Medium | High | Needs cross-team buy-in |
| Field Service Scheduling | Medium | Low | High | Wait until phase 2 |
| Inventory Updates | High | High | Medium | Automate ASAP |
Anecdote:
One Western U.S. dealer automated stock updates in BigCommerce and reduced backorders by 37% in six months.
Step 3: Standardize Data and Processes Across Entities
- Align product catalogs: unify SKU naming, units of measure, pricing tiers.
- Map old workflows to a single BigCommerce process where possible.
- Cleanse and deduplicate customer and order data—don’t push bad records into automated flows.
- Create a master process doc for each automated workflow.
Tip:
Push for “minimum viable standardization” to avoid endless meetings. Get agreement on what must match, not every minor field.
Step 4: Align Tech Stacks—BigCommerce at the Core
- Identify which apps/systems will stay and which will sunset.
- Integrate BigCommerce with your ERP and CRM first. Use middleware (Celigo, Tray.io, Zapier) to connect legacy applications if you can't rip them out immediately.
- For critical edge cases (custom quoting, service contracts), build minimal custom APIs—avoid hard-coding for quick pivots.
- Standardize user permissions and roles across BigCommerce instances.
Caveat:
If acquired company runs a non-BigCommerce storefront, full integration can take months; automate shared processes first and merge stores in phase two.
Step 5: Build Automation in Phases—Don’t “Big Bang” It
- Pilot automation for one workflow (like order-to-cash) with a cross-entity team.
- Use sandbox environments to test integrations (BigCommerce staging, ERP test database).
- Document exceptions and escalate blockers quickly—don’t let edge cases stall rollout.
- Train frontline teams early; create video walkthroughs and cheat sheets.
Common Mistake:
Trying to automate across all companies at once. Results in chaos and wasted dev hours. Tackle one business process, get it stable, then expand.
Step 6: Communicate and Align Culture
- Run joint stakeholder workshops: ops, IT, sales, field service.
- Surface pain points and wins. Acknowledge “old way” vs “new way” openly.
- Appoint workflow “champions” from each legacy team to report feedback.
- Use short surveys after each major rollout (Zigpoll, Typeform, or Google Forms) to measure adoption and pain.
Limitation:
Automation won’t fix cultural resistance—especially if acquired shop feels “steamrolled.” Slow down, listen, adapt where you can.
Step 7: Monitor, Measure, and Iterate
- Define KPIs: order cycle time, quote-to-cash time, error rates, manual touchpoints per order.
- Use BigCommerce analytics and ERP dashboards. Supplement with custom SQL queries if needed.
- Review metrics in weekly ops meetings. Celebrate small wins—faster quoting, fewer manual entries, improved inventory accuracy.
- Tweak automation flows based on feedback and exception logs.
Anecdote:
Southern Equipment Group cut manual invoice corrections by 63% after their post-acquisition automation—tracked in BigCommerce and ERP logs.
Step 8: Plan for Continuous Improvement
- Schedule quarterly workflow audits—look for new redundancies post-acquisition.
- Keep a backlog of automation candidates. Revisit areas where cultural or tech debt slowed phase one.
- Stay current: subscribe to BigCommerce release notes, join industrial-equipment user groups, and keep tabs on competitors’ workflow innovations.
- Use feedback tools (Zigpoll, Typeform) for regular pulse checks.
Caveat:
Don’t treat automation as “done.” M&A means new gaps and new tech will always appear.
Quick-Reference: Workflow Automation Checklist for Post-M&A (BigCommerce Users)
- Complete workflow and system inventory (both orgs)
- Prioritize by impact/readiness, not politics
- Standardize data: SKUs, pricing, naming
- Decide core vs. sunset systems; integrate BigCommerce/ERP/CRM
- Pilot automation in one workflow first
- Engage stakeholders, address culture openly, appoint champions
- Use feedback tools (Zigpoll, Typeform) to track pain points
- Monitor KPIs weekly, iterate on issues fast
- Schedule regular audits; automation is ongoing
Signs It's Working
- Order cycle times shrink (target: 20-30% faster within 3-6 months)
- Fewer manual data corrections (track in BigCommerce’s dashboard: <1% orders need manual fix)
- Field and sales teams report fewer delays in handling quotes and orders
- Consistent data across BigCommerce, ERP, and CRM—one version of the truth
- Adoption rates stay high (check with Zigpoll after every phase)
- Less firefighting after each acquisition
Summary Table: What To Watch At Each Stage
| Stage | Success Indicator | Pitfall |
|---|---|---|
| Inventory & Mapping | Full workflow visibility | Missing “shadow” processes |
| Prioritization | Clear impact, quick wins | Paralysis by analysis |
| Data & Process Standardization | Unified catalogs, few errors | Endless detail debates |
| Tech Stack Integration | Smooth BigCommerce links | Over-customization |
| Pilot & Rollout | One workflow live in <60 days | Trying to do it all |
| Culture Alignment | Champions engaged, feedback | Siloed teams, resistance |
| Measurement & Iteration | KPIs trending positive | Ignoring exception logs |
| Continuous Improvement | Quarterly audits, backlog | Treating “done” as final |
Automation post-acquisition is a relay, not a sprint. Stick to phased rollouts, communicate openly, and let BigCommerce be your integration backbone. Track everything, fix what breaks, and keep simplifying. This approach builds buy-in, saves time, and gives you a repeatable playbook for the next deal—because there’s always a next one.